Sargur N. Srihari · Sargur N. Srihari—Curriculum Vitae 4 5 HONORS SUNY Outstanding Inventor...

Curriculum vitae

Sargur N. Srihari

Distinguished Professor Department of Computer Science and Engineering

State University of New York at Buffalo

Director Center of Excellence for Document Analysis and Recognition

CEDAR

UB Commons 520 Lee Entrance, Suite 202

Amherst, NY 14228-2583 Telephone: (716) 645-6162

Fax: (716) 6176 E-mail: [email protected]

April 28, 2003

Curriculum vitae

Sargur N. Srihari

Contents

1 Personal Information..................................................................................................................3 2 Education ...................................................................................................................................3 3 Academic Background...............................................................................................................3 4 Advisory Positions .....................................................................................................................3 5 Honors........................................................................................................................................4 6 Professional Activities ...............................................................................................................4 7 Publications................................................................................................................................5 7.1 Journal Articles ...................................................................................................................5 7.2 Patents .................................................................................................................................9 7.3 Papers in Conference Proceedings....................................................................................10 7.4 Books ................................................................................................................................27 7.5 Book Chapters...................................................................................................................27 7.6 Book Reviews ...................................................................................................................29 7.7 Other Periodicals................................................................................................................29 7.8 Abridged Papers/Abstracts................................................................................................29 8 Doctoral Dissertations Supervised...........................................................................................31 9 Invited Lectures and Conference Presentations.......................................................................34

Sargur N. Srihari—Curriculum Vitae

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Sargur N. Srihari

1 PERSONAL INFORMATION Born: May 7, 1949 Married: Rohini Kesavan Srihari Children: Two sons 2 EDUCATION Ph.D., 1976: Computer & Information Science, The Ohio State University, Columbus, Ohio M.S., 1972: Computer & Information Science, The Ohio State University, Columbus, Ohio B.E., 1970: Electrical Communication Engineering, Indian Institute of Science, Bangalore, India B.Sc., 1967: Physics & Mathematics, Bangalore University, Bangalore, India 3 ACADEMIC POSITIONS 1997-Present: SUNY Distinguished Professor, Department of Computer Science and

Engineering, State University of New York (SUNY) at Buffalo 1991-Present: Director, Center of Excellence for Document Analysis and Recognition (CEDAR),

SUNY at Buffalo 1991-1997: Pattern Recognition Professor, Computer Science, SUNY at Buffalo 1987-1991: Professor, Computer Science, SUNY at Buffalo 1987-1988: Acting Chairman, Computer Science, SUNY at Buffalo 1982-1987: Associate Professor, Computer Science, SUNY at Buffalo 1978-1982: Assistant Professor, Computer Science, SUNY at Buffalo 1976-1978: Assistant Professor, Computer Science, Wayne State University, Detroit, MI 1970-1975: Graduate Research Assistant, Computer and Information Science, Ohio State

University, Columbus, OH 4 ADVISORY POSITIONS 2002-2006: Member, Board of Scientific Counselors, National Library of Medicine 2000-Present: Member, Technical Advisory Board, Cymfony, Inc. 1996-Present: Chairman, Cedartech, Inc.


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5 HONORS SUNY Outstanding Inventor Award, SUNY Research Foundation, SUNY, 2002 Distinguished Alumnus, College of Engineering, The Ohio State University, 1999 Fellow, International Association for Pattern Recognition, 1996 Fellow, Institute of Electrical and Electronics Engineers, 1994 New York State United University Professions Excellence Award for 1990-91 Fellow, Institution of Electronics and Telecommunications Engineers, India, 1989 National Merit Scholarship, India, 1967-70 6 PROFESSIONAL ACTIVITIES POSITIONS Editor-in-Chief International Journal of Document Analysis and Recognition, 1997-Present Associate Editor Pattern Recognition Journal, 1982-present International Journal of Pattern Recognition and Artificial Intelligence, 1992-1996 Chairman Technical Committee on Text Processing (TC-11), International Association of Pattern Recognition 1986-1988 General Chair Eighth International Workshop on Frontiers of Handwriting Recognition, Niagara-on-the-Lake, Canada, 2002 Fifth International Conference on Document Analysis and Recognition, Bangalore, India, 1999 Third International Workshop on Frontiers of Handwriting Recognition, Buffalo, NY, 1993 Program Co-Chair Third International Conference on Document Analysis & Recognition, Montreal, Canada, 1995 First International Conference on Document Analysis & Recognition, St. Malo, France 1991 MEMBERSHIPS Association for Computing Machinery Pattern Recognition Society American Association for Artificial Intelligence Institute of Electrical and Electronics Engineers


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7 PUBLICATIONS 7.1 Journal Articles 1. Srihari, S. N. S.-H. Cha, H. Arora, and S. Lee, "Individuality of Handwriting," Journal of

Forensic Sciences: 47 (4), July 2002, pp. 856-872. 2. Cha, S.-H., and S. N. Srihari, "A Fast Nearest Neighbor Search Algorithm by Filtration,

Pattern Recognition, 35(2), February 2002, pp. 515-525. 3. Park, J., V. Govindaraju and S. N. Srihari, “OCR in a Hierarchical Feature Space,” IEEE

Transactions on Pattern Analysis and Machine Intelligence, 22(4), April 2000, pp. 400-407. 4. Plamondon, R., and S. N. Srihari, “On-line and Off-line Handwriting Recognition: A

Comprehensive Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 22(1), January 2000, pp. 63-84.

5. Srihari, S. N., “Handwritten Address Interpretation: A Task of Many Pattern Recognition

Problems,” International Journal of Pattern Recognition and Artificial Intelligence, 14(5), August 2000, pp. 663-674.

6. Wang, X., V. Govindaraju and S. N. Srihari, “Holistic Digit Pair Recognition,” Journal of

Pattern Recognition, 33(12), December 2000, pp. 1967-1974. 7. Bouchaffra, D., V. Govindaraju and S. N. Srihari, “A Methodology for Mapping Scores to

Probabilities,” IEEE Transactions on Pattern Analysis and Machine Intelligence, short paper, 21(9), September 1999, pp. 923-927.

8. Bouchaffra, D., V. Govindaraju and S. N. Srihari, “Postprocessing Recognition of Strings

Using Nonstationary Markovian Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(10), October 1999, pp. 990-999.

9. Kim, G., V. Govindaraju and S. N. Srihari, “An Architecture for Handwritten Text

Recognition Systems,” International Journal of Document Analysis and Recognition, 2(1), 1999, pp. 37-44.

10. Liu, Y., and S. N. Srihari, “Document Image Binarization Based on Texture Features,” IEEE

Transactions on Pattern Recognition and Machine Intelligence, 19(5), May 1997, pp. 540-544.

11. Srihari, S. N., T. Hong and G. Srikantan, “Machine-printed Japanese Document

Recognition,” Pattern Recognition, 30(8), 1997, pp. 1301-1313. 12. Madhvanath, S., V. Govindaraju and S. Srihari, “Reading Handwritten Phrases on U.S.

Census Forms,” International Journal of Imaging Systems and Technology, 7, 1996, pp. 312-319.


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13. Niyogi, D., and S. N. Srihari, “An Integrated Approach to Document Decomposition and Structural Analysis,” International Journal of Imaging Systems and Technology, 7, 1996, 330-342.

14. Palumbo, P. W., and S. N. Srihari, “Postal Address Reading in Real Time,” International

Journal of Imaging Systems and Technology, 7, 1996, pp. 370-378. 15. Srihari, S. N., Y.-C. Shin, V. Ramanaprasad and D.-S. Lee, “A System to Read Names and

Addresses on Tax Forms,” Proceedings of IEEE, 84(7), 1996, pp. 1038-1049. 16. Srihari, S. N., Y.-C. Shin, V. Ramanaprasad and Z. Shi, “Document Image-processing

System for Name and Address Recognition,” International Journal of Imaging Systems and Technology, 7, 1996, pp. 379-391.

17. Chen, M. Y., A. Kundu and S. N. Srihari, “Variable Duration Hidden Markov Model and

Morphological Segmentation of Handwritten Words,” IEEE Transactions on Image Processing, 4(12), 1995, pp. 1675-1688.

18. Cohen, E., J. J. Hull and S. N. Srihari, “Control Structure for Interpreting Handwritten

Addresses,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(10), October 1994, pp. 1049-1055.

19. Ho, T. K., J. J. Hull and S. N. Srihari, “Decision Combination in Multiple Classifier

Systems,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(1), 1994, pp. 66-75.

20. Wang, D., and S. N. Srihari, “Analysis of Form Images,” International Journal of Pattern

Recognition and Artificial Intelligence, 8(5), 1994, pp. 1031-1052. 21. Chen, J. S., and S. N. Srihari, “Hypothesis Generation in Conflict-based Diagnosis,”

International Journal of Pattern Recognition and Artificial Intelligence, 7(3), 1993, pp. 465-492.

22. Srihari, S. N., “Recognition of Handwritten and Machine-printed Text for Postal Address

Interpretation,” Pattern Recognition Letters, April 1993, pp. 291-302. 23. Ho, T. K., J. J. Hull and S. N. Srihari, “A Computational Model for Recognition of Multi-

font Word Images,” Machine Vision and Applications, 5(1), 1992, pp. 157-168. 24. Ho, T.K., J.J. Hull and S.N. Srihari, “Multiclassifier Approach to Word Recognition,”

Pattern Recognition Letters, 1992. 25. Ho, T. K., J. J. Hull and S. N. Srihari, “Word-Shape Analysis Approach to Lexicon-Based

Word Recognition,” Pattern Recognition Letters, 1992, pp. 821-826.


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26. Palumbo, P. W., S. N. Srihari, J. Soh, R. Sridhar and V. Demjanenko, “Postal Address Block Location in Real-time,” IEEE Computer, 25(7), 1992, pp. 33-45.

27. Shin, Y.-C., R. Sridhar, V. Demjanenko, P. W. Palumbo and S. N. Srihari, “A Special-

Purpose Content Addressable Memory Chip for Real-time Image Processing,” IEEE Journal of Solid State Circuits, 27(5), 1992, pp. 737-744.

28. Srihari, S. N., "High Performance Reading Machines, Proceedings of IEEE, 80(7), 1992, pp.

1120-1132. 29. Cohen, E., J. J. Hull and S. N. Srihari, “Understanding Text in a Structured Environment:

Determining ZIP Codes from Addresses,” International Journal of Pattern Recognition and Artificial Intelligence, 5(1 & 2), 1991, pp. 221-264.

30. Bozinovic, R., and S. N. Srihari, “Off-line Cursive Script Word Recognition,” IEEE

Transactions on Pattern Analysis Machine Intelligence, 11(1), 1989, pp. 68-83. 31. Soh, J., P. W. Palumbo and S. N. Srihari, “Towards Developing a Real-time System for

Address Block Location,” International Journal of Research and Engineering—Postal Applications, 1(1), 1989, pp. 57-76.

32. Srihari, S. N., E. Cohen, J. J. Hull and L. Kuan, “A System to Locate and Recognize ZIP

Codes in Handwritten Addresses,” International Journal of Research & Engineering—Postal Applications, 1(1), 1989, pp. 37-56.

33. Srihari, S. N., and V. Govindaraju, “Analysis of Textual Images Using the Hough

Transform,” Machine Vision and Applications, 2, 1989, pp. 141-153. 34. Srihari, S. N., and Z. Xiang, “Spatial Knowledge Representation,” International Journal of

Pattern Recognition and Artificial Intelligence, 3(1), March 1989, pp. 67-84. 35. Wang, D., and S. N. Srihari, “Classification of Newspaper Image Blocks Using Texture

Analysis,” Computer Vision, Graphics and Image Processing, 47, 1989, pp. 327-352. 36. Wang, C.-H., and S. N. Srihari, “A Framework for Object Recognition in a Visually

Complex Environment and Its Application to Locating Address Blocks on Mail Pieces,” International Journal of Computer Vision, 2, 1988, pp. 119-145.

37. Bozinovic, R.M. and S.N. Srihari, “A Multilevel Perception Approach to Cursive Script

Recognition,” Artificial Intelligence Journal, 33(2), 1987, pp. 217-255. 38. Palumbo, P. W., and S. N. Srihari, “Text Parsing Using Spatial Information for Recognizing

Addresses in Mail Pieces,” Electro Technology: Journal of the Society of Electronic Engineers of India, XXXI (1 & 2), 1987, pp. 28.


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39. Srihari, S. N., C.-H. Wang, P. W. Palumbo and J. J. Hull, “Address Block Location: Specialized Tools and Problem-Solving Architecture,” AI Magazine, Winter 1987, pp. 25-40. (Cover feature for this issue.)

40. Chutkow, J. G., S. C. Shapiro, S. N. Srihari and Z. Xiang, “Computerized Neurological

Diagnosis: A Paradigm of Modeling and Reasoning,” Health Care Instrumentation, March 1985, pp. 90-105.

41. Hardas, D., and S. N. Srihari, “Progressive Refinement of 3-D Images Using Coded Binary

Trees: Algorithms and Architecture,” IEEE Transactions on Pattern Analysis Machine Intelligence, 6(6), 1984, pp. 748-757.

42. Srihari, S. N., “Pyramid Representations for Solids,” Information Sciences, 34, 1984, pp. 25-

46. 43. Hull, J. J., S. N. Srihari and R. Choudhari, “An Integrated Algorithm for Text Recognition:

Comparison with a Cascaded Algorithm,” IEEE Transactions on Pattern Analysis & Machine Intelligence, 5(4), 1983, pp. 384-395.

44. Srihari, S. N., J. J. Hull and R. Choudhari, “Integrating Diverse Knowledge Sources in Text

Recognition,” ACM Transactions on Office Information Systems, 1(1), 1983, pp. 68-87. (Reviewed in Computing Reviews, 1983.)

45. Yau, M., and S. N. Srihari, “A Hierarchical Data Structure for Multidimensional Digital

Images,” Communications of the ACM, 26(7), 1983, pp. 504-515. (Cover feature for this issue.)

46. Bozinovic, R., and S. N. Srihari, “String Correction Algorithm for Cursive Script

Recognition,” IEEE Transactions on Pattern Analysis & Machine Intelligence, 4(6), 1982, pp. 655-663 (corresp.).

47. Hull, J. J., and S. N. Srihari, “Experiments in Text Recognition with Binary N-gram and

Viterbi Algorithms,” IEEE Transactions on Pattern Analysis & Machine Intelligence, 4(5), 1982, pp. 520-530 (corresp.).

48. Srihari, S. N., “Reliability Analysis of Biased Majority-vote Systems,” IEEE Transactions

on Reliability, 31(1), 1982, pp. 117-118. 49. Srihari, S. N., “Reliability Analysis of Majority-vote Systems,” Information Sciences, 26,

1982, pp. 243-256. 50. Udupa, J. K., S. N. Srihari and G. T. Herman, “Boundary Detection in Multidimensions,”

IEEE Transactions on Pattern Analysis & Machine Intelligence, 4(1), 1982, pp. 41-50. 51. Srihari, S. N., “Representation of Three-dimensional Digital Images,” ACM Computing

Surveys, 13(4), 1981, pp. 399-424.


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52. Srihari, S. N., “On Choosing Measurements for Invariant Pattern Recognition,” Information Sciences, 21(1), 1980, pp. 1-11.

53. Srihari, S. N., T. Snabb and L. J. White, “An Algorithm for Determining Identity of Nearest-

neighbor and Potential Function Decision Rules,” Pattern Recognition, 12(5), 1980, pp. 293-299.

54. Srihari, S. N., “Recursive Implementation of a Two-step Nonparametric Decision Rule,”

IEEE Transactions on Pattern Analysis & Machine Intelligence, 1(1), 1979, pp. 90-94 (corresp.).

55. Srihari, S. N., and M. K. Ohanesian, “An Effcient Algorithm for Determining Hadamard

Sequency Vectors,” IEEE Transactions on Computers, (3), 1979, pp. 243-244 (corresp.). 56. Srihari, S. N., “Feature-ordering Criteria for Composite Classes Arising in Invariant Pattern

Recognition,” IEEE Transactions on Systems, Man & Cybernetics, 8(7), 1978, pp. 556-561 (corresp.).

7.2 Patents 1. Shin, Y.-C., R. Sridhar, S. Srihari and V. Demjanenko, Local Adaptive Contrast

Enhancement, United States Patent No. 5,524,070, June 4, 1996. 2. Govindaraju, V., D. Wang and S. N. Srihari, System for recognizing handwritten words of

cursive script, United States Patent No. 5,515,455, May 7, 1996. 3. Fenrich, R. K., and S. N. Srihari, A system for recognizing handwritten character strings

containing overlapping and/or broken characters, United States Patent Number 5,321,768, June 14, 1994.

4. Shin, Y.-C., R. Sridhar, V. Demjanenko, P. W. Palumbo and S. N. Srihari, Digital Data

Memory Unit and Memory Unit Array, United States Patent Number 5,257,220, October 26, 1993.

5. Kuan, L., J. J. Hull and S. N. Srihari, Method and apparatus for handwritten character

recognition, United States Patent Number 5,058,182, Oct. 15, 1991. 6. Srihari, S. N., and J. J. Hull, A system to achieve automatic recognition of linguistic strings,

United States Patent Number 4,654,875, March 31, 1987. (Received 3rd place award at Inventor of the Year award sponsored by Niagara Frontier Patent Law Association and Technical Societies Council from among 175 patents awarded to area inventors in 1987.)


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7.3 Papers in Conference Proceedings 1. Srihari, S.N., “Quantifying Handwriting Individuality,’ 55th Annual Conference American

Academy of Forensic Sciences, Chicago, IL, February, 2003. 2. Zhang, B. and S.N. Srihari, “Binary Vector Dissimilarity Measures for Handwriting

Identification,” Proceedings Document Recognition and Retrieval X, Santa Clara, CA, January, 2003, pp. 28-38.

3. S. N. Srihari, “Individuality of Forensic and Biometric Data,” 37th National Convention 2002,

Computer Society of India Annual Conference, Bangalore, India, October 2002. 4. Lee, S., S.-H. Cha and S. N. Srihari, "Combining Macro and Micro Features for Writer

Identification," SPIE, Document Recognition and Retrieval IX, San Jose, CA, January 2002, pp. 155-166.

5. Srihari, S. N., S.-H. Cha and S. Lee, "The Discriminatory Power of Handwriting," Invited

Paper, SPIE, Document Recognition and Retrieval IX, San Jose, CA, January 2002, pp. 129-142.

6. Zhang, B., C. Tomai, A. Zhang and S. N. Srihari, "An Adaptive Image Retrieval System Using

Wavelets," International Conference on Image Processing (ICIP 2002), Rochester, NY, September 2002, to be published.

7. Cha, S.-H., and S. N. Srihari, “Apriori Algorithm for Sub-category Classification Analysis

of Handwriting,” Sixth International Conference on Document Analysis and Recognition (ICDAR'01), Seattle, WA, September 2001, pp. 1022-1025

8. Cha, S.-H., and S. N. Srihari, “Handwritten Document Image Database Construction and

Retrieval Systems,” SPIE Document Recognition and Retrieval VIII, San Jose, CA, January, 2001, pp. 13-21.

9. Setlur, R., A. Lawson, V. Govindaraju and S. N. Srihari, “Truthing, Testing and Evaluation

Issues in Complex Systems,” Sixth International Conference on Document Analysis and Recognition (ICDAR'01), Seattle, WA, September 2001, pp. 1205-1214.

10. Srihari, S. N., S.-H. Cha, H. Arora and S. Lee, “Individuality of Handwriting: A Validation

Study,” Sixth International Conference on Document Analysis and Recognition (ICDAR'01), Seattle, WA, September 2001, pp. 106-109.

11. Srihari, S. N., S.-H. Cha and S. Lee, “Establishing Handwriting Individuality Using Pattern

Recognition Techniques,” Sixth International Conference on Document Analysis and Recognition (ICDAR'01), Seattle, WA, September 2001, pp. 1195-1204.

12. Cha, S.-H., Y.-C. Shin and S. N. Srihari, “Approximate String Matching for Stroke

Direction and Pressure Sequences,” SPIE: Document Recognition and Retrieval VII, San Jose, CA, January 2000, pp. 2-10.


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13. Cha, S.-H., and S. N. Srihari, “Assessing the Authorship Confidence of Handwritten Items,”

Fifth Workshop on the Application of Computer Vision 2000, Palm Springs, CA, December 2000, pp. 42-47.

14. Cha, S.-H., and S. N. Srihari, “Comparing Color Images Using Angular Histogram

Measures,” Joint Conference on Information Sciences, Atlantic City, NJ, February 2000, pp. 139-142.

15. Cha, S.-H., and S. N. Srihari, “Convex Hull Discriminant Function and Its Application to the

Writer-Identification Problem,” Joint Conference on Information Sciences, Atlantic City, NJ, February 2000, pp. 13-16.

16. Cha, S.-H., and S. N. Srihari, “Distance between Histograms of Angular Measurements and

its Application to Handwritten Character Similarity,” International Conference on Pattern Recognition, Barcelona, Spain, September 2000, pp. 21-24.

17. Cha, S.-H., and S. N. Srihari, “Mapping the Many-Class Problem into a Dichotomy Using

Distance Measures,” International Conference of Statistics, San Antonio, TX, March 2000, pp. 57-58.

18. Cha, S.-H., and S. N. Srihari, “Multiple Feature Integration for Writer Identification,”

Seventh International Workshop on Frontiers of Handwriting Recognition, Amsterdam, The Netherlands, September 2000, pp. 333-342.

19. Cha, S.-H., and S. N. Srihari, “Nearest Neighbor Search Using Additive Binary Tree,” IEEE

Conference on Computer Vision and Pattern Recognition (CVPR00), Hilton Head, SC, June 2000, pp. 738-745.

20. Cha, S.-H., and S. N. Srihari, “System That Identifies Writers,” Seventeenth National

Conference of American Association of Artificial Intelligence 2000, Austin, TX, July 2000, p. 1068.

21. Cha, S.-H., and S. N. Srihari, “Writer Identification: Statistical Analysis and Dichotomizer,”

International Workshop on Structural and Syntactical Pattern Recognition 2000, Alicante, Spain, August 2000, pp. 123-132.

22. Srihari, S. N., “A Survey of Sequential Combination of Word Recognizers in Handwritten

Phrase Recognition at CEDAR,” Lecture Notes in Computer Science, IAPR International Workshop on Multiple Classifier Systems, Cagliari, Italy, June 2000, pp. 45-51.

23. Bouchaffra, D., V. Govindaraju and S. N. Srihari, “Recognition of Strings Using Non-

Stationary Markovian Models: An Application in ZIP Code Recognition,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR99), Fort Collins, CO, June 1999, pp. 174-179.


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24. Cha, S.-H., Y.-C. Shin and S. N. Srihari, “Approximate Stroke Sequence String Matching Algorithm for Character Recognition and Analysis,” Fifth International Conference on Document Analysis and Recognition (ICDAR99), Bangalore, India, September 1999, pp. 53-56.

25. Govindaraju, V., S. N. Srihari and Y.-C. Shin, “Use of Handwriting Recognition Features in

Handwriting Recognition,” International Graphonomics Society Conference, Singapore, June 1999, pp. 73-78.

26. Jung, M.-C., Y.-C. Shin and S.N. Srihari, “Machine-Printed Character Segmentation

Method Using Side Profiles,” IEEE International Conference on Systems, Man and Cybernetics, Tokyo, Japan, October 1999.

27. Jung, M.-C., Y.-C. Shin and S. N. Srihari, “Multifont Classification Using Typological

Attributes,” Fifth International Conference on Document Analysis and Recognition (ICDAR99), Bangalore, India, September 1999, pp. 353-356.

28. Mahadevan, U., and S. N. Srihari, “Parsing and Recognition of City, State, and ZIP Codes in

Handwritten Addresses,” Fifth International Conference on Document Analysis and Recognition (ICDAR99), Bangalore, India, September 1999, pp. 325-328.

29. Park, J., V. Govindaraju and S. N. Srihari, “Efficient Word Segmentation Driven by

Unconstrained Handwritten Phrase Recognition,” Fifth International Conference on Document Analysis and Word Recognition (ICDAR99), Bangalore, India, September 1999, pp. 605-608.

30. Srihari, S. N., “Mining Postal Databases for Address Interpretation,” International

Symposium on Document Analysis and Speech Recognition, Indian Statistical Institute, Calcutta, India, December 1999.

31. Srihari, S. N., “A Task of Many Pattern Recognition Problems,” Second International

Conference on Multimodal Interface (ICMI99), Kowloon Tong, Hong Kong, January 1999, pp. 2-4.

32. Srihari, S. N., W.-J. Yang and V. Govindaraju, “Address Interpretation,” Mail Technology–

Tomorrow’s World, Brighton, UK, June 1999, pp. 147-158. 33. Srihari, S. N., W.-J. Yang and V. Govindaraju, “Information Theoretic Modeling of Postal

Address Fields for Overcoming Ambiguity,” HKK Conference, Waterloo, Ontario, Canada, June 1999, pp. 105-110.

34. Srihari, S. N., W.-J. Yang and V. Govindaraju, “Information Theoretic Analysis of Postal

Address Fields for Automatic Address Interpretation,” Fifth International Conference on Document Analysis and Word Recognition (ICDAR99), Bangalore, India, September 1999, pp. 309-312.


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35. Wang, X., V. Govindaraju and S. N. Srihari, “Multi-Experts for Touching Digit String Recognition,” Fifth International Conference on Document Analysis and Word Recognition (ICDAR99), Bangalore, India, September 1999, pp. 800-803.

36. Bartnik, D., V. Govindaraju, S. N. Srihari and B. Phan, “Postal Reply-Card Mail

Processing,” Fourteenth International Conference on Pattern Recognition, Brisbane, Australia, August 1998, pp. 633-636.

37. Bouchaffra, D., V. Govindaraju and S. N. Srihari, “A Methodology for Deriving

Probabilistic Correctness from Recognizers,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR98), Santa Barbara, CA, June 1998, pp. 930-935.

38. Govindaraju, V., K. Ianakiev and S. N. Srihari, “Improving Classifier Accuracy by

Simulating Fuzzy Boundaries between Classes,” North American Fuzzy Logic and Image Processing Conference, Pensacola, FL, August 1998, pp. 161-164.

39. Kim, G., V. Govindaraju and S. N. Srihari, “Architecture for Handwritten Text Recognition

Systems,” Sixth International Workshop on Frontiers of Handwriting Recognition (IWFHRVI), Taejon, Korea, August 1998, pp. 113-122.

40. Madhvanath, S., and V. Govindaraju, “Perceptual Features for Off-Line Handwritten Word

Recognition: A Framework for Heuristic Prediction,” IAPR Workshop Matching and Representation, Syntactic and Statistical Pattern Recognition, Sydney, Australia, August 1998.

41. Park, J., V. Govindaraju, and S. N. Srihari, “OCR in Hierarchical and Multi-Resolution

Feature Space,” IEEE Conference on Systems, Man and Cybernetics, San Diego, CA, October 1998, pp. 4324-4329.

42. Srihari, S. N., W.-J. Yang, V. Govindaraju, X. Song and X. Wang, “Statistical Analysis of

United States Postal Addresses,” International Conference on Combinatorics, Statistics, Pattern Recognition and Related Areas (Fifth International Conference of the Forum for Interdisciplinary Mathematics), Mysore, India, December 1998, pp. 71-72.

43. Wang, X., V. Govindaraju and S. N. Srihari, “Holistic Recognition of Touching Digits,”

Sixth International Workshop on Frontiers of Handwriting Recognition (IWFHRVI), Taejon, Korea, August 1998, pp. 295-303.

44. Bouchaffra, D., E. Koontz, V. Krpsundar, R. K. Srihari and S. N. Srihari, “Integrating Signal

and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches,” Sixth International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, FL, January 1997, pp. 47-54.

45. Govindaraju, V., and S. N. Srihari, “Paradigms in Handwriting Recognition,” IEEE

International Conference on Systems, Man and Cybernetics, Orlando, FL, October 1997, pp. 1498-1503.


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46. Hong, T. and S. N. Srihari, “Representing OCR'ed Documents in HTML,” International

Conference on Computational Intelligence and Multimedia Applications (ICCIMA'97), Gold Coast, Australia, February 1997, pp. 18-22.

47. Hong, T. and S. N. Srihari, “Representing OCR'ed Documents in HTML,” Fourth

International Conference on Document Analysis and Recognition (ICDAR97), Ulm, Germany, August 1997, pp. 831-835.

48. Madhvanath, S., E. Kleinberg, V. Govindaraju and S. N. Srihari, “The HOVER System for Rapid Holistic Verification of Off-line Handwritten Phrases,” Fourth International Conference on Document Analysis and Recognition (ICDAR97), Ulm, Germany, August 1997, pp. 855-859.

49. Niyogi, D., and S. N. Srihari, “The Use of Document Structure Analysis to Retrieve

Information from Documents in Digital Libraries,” SPIE/IS&T Symposium on Electronic Imaging: Science & Technology, San Jose, CA, February 1997.

50. Shi, Z., S. N. Srihari, Y.-C. Shin and V. Ramanaprasad, “A System for Segmentation and

Recognition of Totally Unconstrained Handwritten Numeral Strings,” Fourth International Conference on Document Analysis and Recognition (ICDAR97), Ulm, Germany, August 1997, pp. 455-458.

51. Srihari, S. N., and E. J. Keubert, “Integration of Handwritten Address Interpretation

Technology into the United States Postal Service Remote Computer Reader System,” Fourth International Conference on Document Analysis and Recognition (ICDAR97), Ulm, Germany, August 1997, pp. 892-896.

52. Srihari, S. N., and G. Kim, “PENMAN: A System for Reading Unconstrained Handwritten

Page Images,” Symposium on Document Image Understanding Technology (SDIUT97), Annapolis, MD, April 1997, pp. 142-153.

53. Favata, J., S. N. Srihari and V. Govindaraju, “Off-Line Handwritten Sentence Recognition,”

Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 171-176.

54. Govindaraju, V., and S. N. Srihari, “Assessment of Image Quality to Predict Readability of

Documents,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, pp. 137-138.

55. Hong, T., and J. J. Hull and S. N. Srihari, “A Unified Approach towards Text Recognition,”

IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, p. 130.

56. Hong, T., G. Srikantan, V.C. Zandy, C. Fang and S.N. Srihari, Character Recognition in a

Japanese Text Recognition System, IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, p.p. 51-62.


15

57. Hong, T., S. Wu, S. N. Srihari, “Evaluating Japanese Document Recognition in the

Internet/Intranet Environment,” Fifth Symposium on Document Analysis and Information Retrieval (SDAIR96), Las Vegas, NV, April 1996, pp. 271-286.

58. Hong, T., S. Wu and S. N. Srihari, “Evaluating Japanese Document Recognition in the

Internet/Intranet Environment,” Workshop on Document Analysis Systems (DAS96), October 1996, pp. 633-650.

59. Kim, G., V. Govindaraju and S. N. Srihari, “Extension of a Handwritten Word Recognition Method to Street Name Images,” Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 221-226.

60. Kim, G., V. Govindaraju and S. N. Srihari, “Handwritten Word Recognition Using Dynamic

Matching with Variable Duration,” International Conference on Acoustics, Speech and Signal Processing, Atlanta, GA, May 1996, pp. 3454-3457.

61. Kim, G., V. Govindaraju and S. N. Srihari, “A Segmentation and Recognition Strategy for

Handwritten Phrases,” Thirteenth International Conference on Pattern Recognition (ICPR96), Vienna, Austria, August 1996, pp. D510-D513.

62. Madhvanath, S., and S. N. Srihari, “Effective Reduction of Large Lexicons for Recognition

of Off-Line Cursive Script,” Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp.189-194.

63. Madhvanath, S., and S. N. Srihari, “Modes and Measures: A Framework for Design of

Parallel Word Classifier Combination Schemes,” Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 449-452.

64. Madhvanath, S., and S. N. Srihari, “A Technique for Local Baseline Determination,” Fifth

International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 445-448.

65. Mahadevan, U., and S. N. Srihari, “Hypothesis Generation for Word Separation in

Handwritten Lines,” Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 453-456.

66. Niyogi, D., and S. N. Srihari, “Using Domain Knowledge to Derive the Logical Structure of

Documents,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, p. 133.

67. Ramanaprasad, V., Y.-C. Shin and S. N. Srihari, “Reading Handprint Addresses on IRS Tax

Forms,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, pp. 135-136.


16

68. Sheikholeslami, G., S. N. Srihariand and V. Govindaraju, “Computer-Aided Graphology,” Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 457-460.

69. Srihari, S. N., “Image Quality and Readability,” IS&T/SPIE Symposium on Electronic

Imaging: Science & Technology, San Jose, CA, January, 1996. 70. Srihari, S. N., “Recent Advances in Off-line Handwriting Recognition,” Fifth International

Workshop on Frontiers in Handwriting Recognition (IWFHRV), Essex, England, September 1996, pp. 1-15.

71. Srihari, S. N., “System for Reading Handwritten Documents,” IEEE International Conference on Systems, Man, and Cybernetics, San Jose, CA, January 1996.

72. Srihari, S. N., G. Srikantan and T. Hong, “A General-Purpose Japanese OCR System,” Fifth

Symposium on Document Analysis and Information Retrieval (SDAIR96), Las Vegas, NV, April 1996, pp. 271-286.

73. Srikantan, G., T. Hong, V. C. Zandy and S. N. Srihari, “Japanese OCR System for Machine-

Printed Document Images,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, January 1996, p. 131.

74. Bhate, A., S. W. Lam and S. N. Srihari, “Sliding Window Technique for Word

Recognition,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, CA, February 1995, p. 236.

75. Govindaraju, V., and S.N. Srihari, “Image Quality and Human Readability,” IEEE

International Conference on Image Processing (ICIP95), Washington, D.C., October 1995, Vol. III, pp. 324-327.

76. Hong, T., S.W. Lam, J.J. Hull and S.N. Srihari, “The Design of a Nearest-Neighbor

Classifier and Its Use for Japanese Character Recognition,” Third International Conference on Document Analysis and Recognition (ICDAR'95), Montreal, Canada, August 1995, pp. 270-273.

77. Hong, T., S. W. Lam, J. J. Hull and S. N. Srihari, “Visual Similarity Analysis of Chinese

Characters and Its Uses in Japanese OCR,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, California, February 1995, p. 242.

78. Lam, S. W., Q. Liao and S. N. Srihari, “Divide-and-Conquer Approach to Japanese Text

Segmentation,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, California, February 1995, p. 241.

79. Lee, D.-S., and S. N. Srihari, “Classifier Combination Using Neural Network Approach,”

IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, California, February 1995, p. 236.


17

80. Lee, D.-S., and S.N. Srihari, “A Theory of Classifier Combination: The Neural Network Approach,” Third International Conference on Document Analysis and Recognition (ICDAR'95), Montreal, Canada, August 1995, pp. 42-45.

81. Lii, J., and S. N. Srihari, “Location of Name and Address on Fax Cover Pages,” Third

International Conference on Document Analysis and Recognition (ICDAR'95), Montreal, Canada, August 1995, pp. 756-759.

82. Madhvanath, S., V. Govindaraju, V. Ramanaprasad, D.-S. Lee and S. N. Srihari, “Reading

Handwritten US Census Forms,” Third International Conference on Document Analysis and Recognition (ICDAR'95), Montreal, Canada, August 1995, pp. 82-85.

83. Niyogi, D., and S.N. Srihari, “Knowledge-Based Derivation of Document Logical

Structure,” Third International Conference on Document Analysis and Recognition (ICDAR '95), Montreal, Canada, August 1995, pp. 472-475.

84. Srihari, S. N., “Japanese OCR ,” Symposium on Document Image Understanding

Technology (SDIUT), Bowie, MD, October 1995, pp. 236-246. 85. Srihari, S. N., “System for Reading Handwritten Documents,” IEEE International

Conference on Systems, Man and Cybernetics, Vancouver, Canada, October 1995. 86. Srihari, S. N., V. Govindaraju and J. Favata, “Unconstrained Handwritten Text

Recognition,” Symposium on Document Image Understanding Technology (SDIUT), Bowie, MD, October 1995, pp. 226-235.

87. Srihari, S. N., Y.-C. Shin, V. Ramanaprasad and D.-S. Lee, “Name and Address Block

Reader System for Tax Form Processing,” Third International Conference on Document Analysis and Recognition (ICDAR ’95), Montreal, Canada, August 1995, pp. 5-10.

88. Srikantan, G., and S. N. Srihari, “Data Representations in Learning,” Fifth International

Workshop on Artificial Intelligence & Statistics, Florida, January 1995, 495. 89. Zhao, S., and S. N. Srihari, “A Word Recognition Algorithm for Machine-Printed Word

Images of Multiple Fonts and Varying Qualities,” Third International Conference on Document Analysis and Recognition (ICDAR'95), Montreal, Canada, August 1995, pp. 351-354.

90. Zhao, X., and S. N. Srihari, “Word Recognition Using a Lexicon Constrained by First/Last

Character Decisions,” IS&T/SPIE Symposium on Electronic Imaging: Science & Technology, San Jose, California, February 1995, p. 238.

91. Cullen, P., R. S. Curtis, P. D. Filipski, J. J. Hull and S. N. Srihari, “Machine Print Address

Interpretation Utilizing Contextual Knowledge,” Institution of Mechanical Engineers Mail Systems 2000 International Conference, London, England, May 1994, pp. 97-105.


18

92. Favata, J., G. Srikantan and S. N. Srihari, “Hand-printed Character/Digit Recognition Using a Multiple Feature/Resolution Philosophy,” Fourth International Workshop on the Frontiers of Handwriting Recognition (IWFHR IV), December 1994, Taipei, Taiwan, pp. 57-66.

93. Govindaraju, V., R. K. Srihari and S. N. Srihari, “Handwritten Text Recognition,”

International Conference on Document Analysis Systems (DAS 94), Kaiserslautern, Germany, October 1994, pp. 157-171.

94. Lam, S., V. Govindaraju, R. K. Srihari, J. J. Hull and S. N. Srihari, “Intelligent Data

Retrieval from Raster Images of Documents,” First Annual Conference on the Theory and Practice of Digital Libraries, College Station, TX, June 1994, pp. 34-40.

95. Lii, J., and S. N. Srihari, “Use of Character Recognition and Syntax in Locating Address

Paragraphs in Complex Documents,” Twelfth International Conference on Pattern Recognition, October 1994, pp. 1241-1255.

96. Srihari, S. N., S. Lam and J. J. Hull, “Document Recognition for Digital Libraries,”

Workshop on Digital Libraries, Newark, NJ, May 1994. 97. Srihari, S. N., R. K. Srihari and V. Govindaraju, “Handwritten Text Recognition,” Fourth

International Workshop on the Frontiers of Handwriting Recognition (IWFHRIV), Taipei, Taiwan, December 1994, pp. 265-274.

98. Srikantan, G., R. K. Fenrich and S. N. Srihari, “Contrast Enhancement for Mailpiece

Images,” IEEE Southwest Symposium on Image Analysis and Interpretation, Dallas, TX, April 1994, p. 82.

99. Srikantan, G., and S. N. Srihari, “A Study Relating Image Sampling Rate and Image Pattern

Recognition,” IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, June 1994, p. 709.

100. Lam, S.W., L. Javanbakht and S.N. Srihari, “Anatomy of a Form Reader,” Second

International Conference on Document Analysis and Recognition (ICDAR93), Tsukuba Science City, Japan, October 1993, pp. 506-509.

101. Lam, S.W., X. Shen and S.N. Srihari, “Representing Lexicons by Modified Tie for Fast

Partial String Matching,” SPIE/IS&T Symposium on Electronic Imaging Science and Technology, San Jose, CA, February 1993.

102. Lii, J., P.W. Palumbo and S.N. Srihari, “Address Block Location Using Character

Recognition and Address Syntax,” Second International Conference on Document Analysis and Recognition (ICDAR93), Tsukuba Science City, Japan, October 1993, pp. 330-335.

103. Liu, Y., R. Fenrich and S.N. Srihari, “An Object Attribute Thresholding Algorithm for

Document Image Binarization,” Second International Conference on Document Analysis and Recognition (ICDAR93), Tsukuba Science City, Japan, October 1993, pp. 278-281.


19

104. Srihari, S. N., “From Pixels to Paragraphs: The Use of Models in Text Recognition,” Second

Symposium on Document Analysis and Recognition, Las Vegas, NV, April 1993, 47-64. 105. Srihari, S.N., V. Govindaraju and A. Shekhawat, “Interpreting Handwritten Addresses in US

Mailstream,” Second International Conference on Document Analysis and Recognition (ICDAR93), Tsukuba City, Japan, October 1993, pp. 291-294.

106. Srikantan, G., S.W. Lam and S.N. Srihari, “Gradient-Based Contour Encoding for Grayscale

Character Recognition,” SPIE/IS&T Symposium on Electronic Imaging Science and Technology, San Jose, CA, February 1993.

107. Zhou, J., V. Govindaraju, R. Acharya and S.N. Srihari, “Recognition of State Name

Abbreviations,” Third International Workshop on Frontiers of Handwriting Recognition (IWFHRIII), Buffalo, NY, May 1993, pp. 423-430.

108. Chen, M. Y., A. Kundu, J. Zhou and S. N. Srihari, “Off-line Handwritten Word Recognition

Using Hidden Markov Model,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 563-578.

109. Cullen, P., T.-K. Ho, J. J. Hull, M. Prussak and S .N. Srihari, “Contextual Analysis of

Machine-Printed Addresses,” Machine Vision Applications in Character Recognition and Industrial Inspection, San Jose, CA, February 1992, pp. 257-268.

110. Cullen, P., J. J. Hull and S. N. Srihari, “A Constraint-based Approach to Postal Address

Interpretation,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 367-377.

111. Favata, J., and S. N. Srihari, “Recognition of General Handwritten Words Using a

Hypothesis Generation and Reduction Methodology,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 237-251.

112. Fenrich, R., S. N. Srihari, P. Scott and M. Woolston, “Real-time High-resolution Image

Acquisition Prototype,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 1113-1127.

113. Filipski, P., J. J. Hull and S. N. Srihari, “Compression for Fast Read-only Access of a Large

Database,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 795-807.

114. Govindaraju, V., S. N. Srihari and D. Sher, “A Computational Model for Face Location

Based on Cognitive Principles,” AAAI Tenth National Conference on Artificial Intelligence, San Diego, CA, July 1992, pp. 350-355.


20

115. Govindaraju, V., D. Wang and S. N. Srihari, “Using Temporal Information in Off-line Word Recognition,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 529-544.

116. Ho, T. K., J. J. Hull and S. N. Srihari, “On Multiple Classifier Systems for Pattern

Recognition,” Eleventh Annual International Conference on Pattern Recognition, Amsterdam, Netherlands, 1992, pp. 84-87.

117. Lam, S., A. Girardin and S. N. Srihari, “Gray Scale Character Recognition Using Boundary

Features,” Machine Vision Applications in Character Recognition and Industrial Inspection, San Jose, CA, February 1992, pp. 98-105.

118. Lee, D. S., and S. N. Srihari, “Machine-printed Character Recognition with Biological and

Theoretical Bases,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 689-699.

119. Li, L., T. K. Ho, J. J. Hull and S. N. Srihari, “A Hypothesis Testing Approach to Word

Recognition Using Dynamic Feature Selection,” Eleventh Annual International Conference on Pattern Recognition, Amsterdam, Netherlands, 1992, pp. 586-589.

120. Lii, Y., P. W. Palumbo and S. N. Srihari, “Use of Character Recognition and Address

Syntax in Address Block Location,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 1241-1255.

121. Srihari, S. N., “Model-based OCR,” DARPA Workshop on Document Understanding, May

1992, Palo Alto, CA, 5 pages. 122. Srihari, S.N., “Next Generation USPS Address Recognition Unit,” Japanese Postal

Technology Conference, Tokyo, Japan, January 1992, 8 pages. 123. Srihari, S. N., E. Cohen, V. Govindaraju and A. Shekhawat, “Determining Delivery Point

Codes on Handwritten Addresses,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 321-335.

124. Wong, P. K., T. K. Ho and S. N. Srihari, “Firm Recognition for Automatic Address

Interpretation,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1992, pp. 757-770.

125. Cohen, E., J. J. Hull and S. N. Srihari, “Understanding Spatially Structured Handwritten

Text,” International Conference on Document Analysis and Recognition (ICDAR91), St. Malo, France, September 1991, pp. 984-992

126. Govindaraju, V., and S. N. Srihari, “Separating Handwritten Text from Overlapping Non-

textual Contours,” Second International Workshop on Frontiers of Handwriting Recognition (IWFHRII), Bonas, France, September 1991, pp. 229-240.


21

127. Ho, T. K., J. J. Hull and S. N. Srihari, “Word Recognition with Multi-level Contextual Knowledge,” First International Conference on Document Analysis and Recognition (ICDAR91), St. Malo, France, September 1991, pp. 905-916.

128. Hull, J. J., T. K. Ho, J. Favata, V. Govindaraju and S. N. Srihari, “Combination of

Segmentation-based and Holistic Handwritten Word Recognition Algorithms,” International Workshop on Frontiers of Handwriting Recognition (IWFHRII), Bonas, France, September 1991, pp. 111-122.

129. Lam, S., and S. N. Srihari, “Frame-Based Knowledge Representation for Multi-Domain Document Layout Analysis,” IEEE Conference on Systems, Man and Cybernetics, Charlottesville, VA, September 1991.

130. Lam, S., and S. N. Srihari, “Multi-domain Document Layout Understanding,” First

International Conference on Document Analysis and Recognition (ICDAR91), St. Malo, France, September 1991, pp. 112-120.

131. Wang, D., and S. N. Srihari, “Analysis of Form Images,” First International Conference on

Document Analysis and Recognition (ICDAR91), St. Malo, France, September 1991, pp. 181-191.

132. Cohen, E., J. J. Hull and S. N. Srihari, “Reading and Understanding Handwritten

Addresses,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 821-836.

133. Cullen, P. B., T. K. Ho, J. J. Hull, M. Prussak and S. N. Srihari, “Contextual Analysis of

Machine-printed Addresses,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 779-793.

134. Demjanenko, V., Y. C. Shin, R. Sridhar, P. W. Palumbo and S. N. Srihari, “Real-time

Connected Component Analysis for Address Block Location,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 1059-1066.

135. Favata, J. T., and S .N. Srihari, “Recognition of Handwritten Words for Address Reading,”

United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 191-205.

136. Govindaraju, V., S. N. Srihari and D. B. Sher, “A Computational Model for Face Location,”

Third International Conference Computer Vision, Osaka, Japan, December 1990, pp. 718-721.

137. Ho, T. K., J. J. Hull and S. N. Srihari, “Combination of Structural Classifiers,” Workshop on

Structural and Syntactic Pattern Recognition, Murray Hill, NJ, June 1990, pp. 123-136. 138. Ho, T. K., J. J. Hull and S. N. Srihari, “A Word Shape Analysis Approach to Recognition of

Degraded Word Images,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 217-229.


22

139. Lam, S., D. Wang and S. N. Srihari, “Reading Newspaper Text,” Tenth International

Conference on Pattern Recognition, Atlantic City, NJ, June 1990, pp. 703-705. 140. Lee, D. S., S. Lam and S. N. Srihari, “A Structural Approach to Recognize Hand-printed and

Degraded Machine-printed Characters,” Workshop on Structural & Syntactic Pattern Recognition, Murray Hill, NJ, June 1990, pp. 256-272.

141. Palumbo, P. W., J. Soh and S. N. Srihari, “Real-time Address Block Location Using

Pipelining and Multiprocessing,” United States Postal Service Advanced Technology Conference, Washington, DC, November 1990, pp. 73-87.

142. Srihari, S. N., “High-performance Reading Machines,” Vision Interface '90, Halifax, Nova

Scotia, Canada, May 1990, pp. 150-155. 143. Srihari, S. N., “High-performance Reading Machines,” Conference on Knowledge-Based

Computer Systems, Pune, India, December 1990, pp. 489-492. 144. Srihari, S. N., “Reading Unconstrained Handwriting with Bounded Context,” International

Workshop on Frontiers of Handwriting Recognition, Montreal, Canada, April 1990, pp. 109-116.

145. Chen, J. S., and S. N. Srihari, “Candidate Ordering and Elimination in Model-based Fault

Diagnosis,” Eleventh International Joint Conference on Artificial Intelligence, Detroit, MI, August 1989, pp. 1363-1368.

146. Govindaraju, V., S. Lam, D. Niyogi, D. B. Sher, R. K. Srihari, S. N. Srihari and D. Wang,

“Newspaper Image Understanding,” Conference on Knowledge-Based Computer Systems, Bombay, India, December 1989, pp. 375-386.

147. Govindaraju, V., D. B. Sher, R. K. Srihari and S. N. Srihari, “Locating Human Faces in

Newspaper Photographs,” IEEE-CS Conference on Computer Vision Pattern Recognition, San Diego, CA, June 1989, pp. 549-555.

148. Soh, J., P. W. Palumbo and S. N. Srihari, “Real Time Recognition of Address Blocks on

Mail Pieces,” Optical Society of America Topical Meeting: Image Understanding and Machine Vision, Cape Cod, MA, June 1989, pp. 10-13.

149. Srihari, S. N., “Feature Extraction for Address Block Location,” From Pixels to Features:

COST-13 Workshop, Bonas, France, 1989, pp. 261-274. 150. Hull, J. J., S. N. Srihari, E. Cohen and C. L. Kuan, “A Blackboard-Based Approach to

Handwritten ZIP Code Recognition,” United States Postal Service Advanced Technology Conference, Washington DC, May 1988, pp. 1018-1032.


23

151. Hull, J. J., S. N. Srihari, E. Cohen, L. Kuan, P. Cullen and P. W. Palumbo, “A Blackboard-Based Approach to Handwritten ZIP Code Recognition,” Ninth International Conference on Pattern Recognition, Rome, Italy, November 1988, pp. 111-113.

152. Kuan, L., and S. N. Srihari, “A Stroke-Based Approach to Handwritten Numeral

Recognition,” United States Postal Service Advanced Technology Conference, May 1988, pp. 1033-1041.

153. Niyogi, D., and S. N. Srihari, “Expert Systems and Pattern Recognition,” Seventh Biennial

Convention of South East Asia Regional Computer Confederation, November 1988, pp. 119-128.

154. Palumbo, P. W., and S. N. Srihari, “Advanced Computer Architectures for Address Block

Location,” United States Postal Service Advanced Technology Conference, Washington DC, May 1988, pp. 318-326.

155. Pawlicki, T. F., D.-S. Lee, J. J. Hull and S. N. Srihari, “Neural Network Models and Their

Application to Handwritten Digit Recognition,” IEEE International Conference on Neural Networks, San Diego, CA, July 1988, pp. 63-70

156. Pawlicki, T. F., D.-S. Lee, J. J. Hull and S. N. Srihari, “Neural Network Models and Their

Application to Handwritten Digit Recognition,” United States Postal Service Advanced Technology Conference, Washington, DC, May 1988, pp. 751-767.

157. Wang, C.-H., P. W. Palumbo and S. N. Srihari, A Framework for Object Recognition and Its

Application to Locating Address Blocks on Mail Pieces,” AAAI Blackboard Workshop, St. Paul, MN, August 1988.

158. Wang, C.-H., P. W. Palumbo and S. N. Srihari, “Object Recognition in Visually Complex

Environments: Architecture for ABLS,” Ninth International Conference on Pattern Recognition, Rome, Italy, November 1988, pp. 365-367.

159. Wang, C.-H., P. W. Palumbo and S. N. Srihari, “Performance Evaluation of a System to

Recognize Address Blocks on Mail Pieces,” AAAI Seventh National Conference on Artificial Intelligence, Minneapolis, MN, August 1988, pp. 837-841.

160. Wang, C.-H., P. W. Palumbo, S. M. Tylock, J. J. Hull and S. N. Srihari, “Performance of a

System to Locate address Blocks on Mail Pieces,” United States Postal Service Advanced Technology Conference, Washington, DC, May 1988, pp. 705-718.

161. Geller, J., M.-R Taie, S. C. Shapiro and S. N. Srihari, “Device Representation and Graphics

Interfaces of VMES,” Application of AI in Engineering, Cambridge, MA, August 1987, pp. 15-28.


24

162. Hull, J. J., and S. N. Srihari, “Knowledge Utilization in Handwritten ZIP-Code Recognition,” Tenth International Joint Conference on Artificial Intelligence, Milan, Italy, August 1987, pp. 848-850.

163. Niyogi, D., and S. N. Srihari, “Using a Blackboard Architecture for Control in a

Knowledge-based Document Understanding System,” SPIE: Applications of Artificial Intelligence, Orlando, FL, 1987, pp. 319-326.

164. Srihari, S.N., “Document Image Analysis: An Overview,” SPSE’s 40th Annual Conference

and Symposium on Hybrid Imaging Systems, Rochester, May 1987, pp. 28-31. 165. Srihari, S. N., and R. Bozinovic, “A Multi-level Perception Approach to Reading Cursive

Script,” Tenth International Joint Conference on Artificial Intelligence, Milan, Italy, August 1987, pp. 844-847.

166. Taie, M.-R., and S. N. Srihari, “Modeling Connections for Circuit Diagnosis,” Third

Conference on Artificial Intelligence Applications, Orlando, FL, February 1987, pp. 81-86. 167. Hull, J. J., and S. N. Srihari, “A Computational Approach to Shape Recognition: Hypothesis

Generation and Testing,” IEEE-CS Conference on Computer Vision Pattern Recognition, Miami Beach, FL, June 1986, pp. 156-161.

168. Hull, J. J., and S. N. Srihari, “Use of External Information in ZIP-Code Recognition,”

United States Postal Service Advanced Technology Conference, Washington, DC, October 1986, pp. 361-370.

169. Niyogi, D., and S. N. Srihari, “A Knowledge-Based System for Document Image

Understanding,” Second Expert Systems in Government Symposium, McLean, VA, October 1986, pp. 128-134.

170. Niyogi, D., and S. N. Srihari, “A Rule-Based System for Document Understanding,” AAAI

Fifth National Conference on Artificial Intelligence, Philadelphia, PA, August 1986, pp. 789-793.

171. Palumbo, P. W., and S. N. Srihari, “Text Parsing Using Spatial Information for Recognizing

Addresses in Mail Pieces,” Eighth International Conference on Pattern Recognition, Paris, France, October 1986, pp. 1068-1070.

172. Palumbo, P. W., P. Swaminathan and S. N. Srihari, “Document Image Binarization:

Comparison of Techniques,” SPIE Applications of Digital Image Processing IX, San Diego, August 1986, pp. 278-285.

173. Shapiro, S. C., S. N. Srihari, M-R. Taie and J. Geller, “VMES: A Network-Based Versatile

Maintenance Expert System,” Applications of AI to Engineering, Southampton, England, April 1986, pp. 925-936.


25

174. Srihari, S. N., “Document Image Understanding,” ACM-IEEE C/S Fall Joint Computer Conference, Dallas, TX, November 1986, pp. 87-96.

175. Srihari, S. N., J. J. Hull, P. W. Palumbo and C.-H. Wang, “Address Block Location:

Specialized Tools and Problem-Solving Architecture,” United States Postal Service Advanced Technical Conference, Washington, DC, October 1986, pp. 116-131.

176. Srihari, S. N., and C.-H. Wang, “A Blackboard Architecture for Object Recognition,” SPIE

Proceedings: Automated Inspection and Measurement, Cambridge, MA, October 1986, pp. 224-232.

177. Srihari, S. N., and G. W. Zack, “Document Image Analysis,” Eighth International

Conference on Pattern Recognition, Paris, France, October 1986, pp. 434-436. 178. Taie, M. R., and S. N. Srihari, “Device Modeling for Fault Diagnosis,” Second Expert

Systems in Government Symposium, McLean, VA, October 1986, pp. 144-150. 179. Taie, M. R., S. N. Srihari, J. Geller and S. C. Shapiro, “Device Representation Using

Instantiation Rules and Structural Templates,” Canadian Artificial Intelligence Conference, Montreal, May 1986, pp. 124-128.

180. Wang, C.-H., and S. N. Srihari, “Object Recognition in Structured and Random

Environments: Locating Address Blocks in Mail Piece Images,” AAAI Fifth National Artificial Intelligence Conference, Philadelphia, PA, August 1986, pp. 1133-1137.

181. Xiang, Z., and S. N. Srihari, “Diagnosis Based on Empirical and Model Knowledge,” Sixth

International Workshop Expert Systems, Avignon, France, April 1986, pp. 835-848. (Received award for “Outstanding Communication.”)

182. Xiang, Z., and S. N. Srihari, “Diagnosis Using Multi-level Reasoning,” Second Expert

Systems in Government Symposium, McLean, VA, October 1986, pp. 151-158. 183. Kumar, R., and S. N. Srihari, “An Expert System for the Interpretation of Cranial CT Scan

Images,” Expert Systems in Government Symposium, McLean, VA, October 1985, pp. 548-557.

184. Xiang, Z., J. G. Chutkow, S. C. Shapiro and S. N. Srihari, “Representation of Spatial

Structure and Function in Diagnosis,” Second Conference on Artificial Intelligence Applications, Miami Beach, FL, December 1985, pp. 223-228.

185. Xiang, Z., and S. N. Srihari, “Graphics Interfaces to a Neurological Diagnosis System,”

National Computer Graphics Association Conference, Dallas, TX, April 1985, pp. 215-222. 186. Xiang, Z., and S. N. Srihari, “Spatial Structure and Function Representation in Diagnostic

Expert Systems,” Fifth International Workshop on Expert Systems, Avignon, France, May 1985, pp. 191-206.


26

187. Xiang, X., S. N. Srihari, S. C. Shapiro and J. G. Chutkow, “A Modeling Scheme for

Diagnosis,” Expert Systems in Government Symposium, McLean, VA, October 1985, pp. 538-547.

188. Bozinovic, R., and S. N. Srihari, “Knowledge-based Cursive Script Interpretation,” Seventh

International Conference on Pattern Recognition, Montreal, Canada, August 1984, pp. 774-777.

189. Hardas, D., and S. N. Srihari, “An Architecture for Progressive Refinement of Grey-level 3-

D Images,” Seventh International Conference on Pattern Recognition, Montreal, Canada, August 1984, pp. 224-226.

190. Xiang, Z., and S. N. Srihari, “Representation of Structure in Neurological Diagnosis,”

International Conference Computers, Systems & Signal Processing, Bangalore, India, December 1984, pp. 1166-1169.

191. Xiang, Z., S. N. Srihari, S. C. Shapiro and J. G. Chutkow, “Analogical and Propositional

Representations of Structure in Neurological Diagnosis,” First Conference on Artificial Intelligence Applications, Denver, CO, December 1984, pp. 127-132.

192. Bozinovic, R., and S. N. Srihari, “Use of Knowledge in Visual Interpretation of Cursive

Script,” IEEE-SMC International Conference on Cybernetics and Society, Bombay, India, 1983, pp. 187-191.

193. Srisuresh, P., and S. N. Srihari, “A Shrinking Algorithm for 3-D Objects,” IEEE-CS

Conference on Computer Vision and Pattern Recognition, Arlington, VA, 1983, pp. 392-393.

194. Bozinovic, R., and S. N. Srihari, “A String Correction Algorithm for Cursive Script

Recognition,” Sixth International Conference on Pattern Recognition, Munich, West Germany, 1982, pp. 44-46.

195. Hull, J. J., and S. N. Srihari, “Comparison of Two Contextual Postprocessing Algorithms for

Text Recognition,” IEEE-CS Conference Pattern Recognition and Image Processing, Las Vegas, NV, June 1982, pp. 146-151.

196. Srihari, S. N., “Hierarchical Data Structures and Progressive Refinement of 3-D Images,”

IEEE-CS Conference on Pattern Recognition Image Processing, Las Vegas, NV, June 1982, pp. 485-490.

197. Srihari, S. N., and J. J. Hull, “Knowledge Integration in Text Recognition,” AAAI National

Conference on Artificial Intelligence, Pittsburgh, PA, August 1982, pp. 148-151.


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198. Srihari, S. N., J. J. Hull and R. Choudhari, “Integration of Top-down and Bottom-up Knowledge in Text Error Correction,” AFIPS National Computer Conference, Houston, TX, June 1982, pp. 501-508.

199. Srihari, S.N., J.J. Hull and R. Choudhari, “An Algorithm for Integrating Diverse Knowledge

Sources in Text Recognition,” ACM Conference on Office Information Systems, Philadelphia, PA, 1982, pp. 46-54.

200. Srihari, S. N., and J. Tindall, “Multiresolution Representation of Three-dimensional

Objects,” IEEE-SMC International Conference Cybernetics and Society, Seattle, WA, October 1982, pp. 327-331.

201. Yau, M., and S. N. Srihari, “Convex Hulls from Hierarchical Data Structures,” Seventh Conference Canadian Man-Computer Communications Society, Waterloo, Ontario, June 1981, pp. 163-171.

202. Yau, M., and S. N. Srihari, “Recursive Generation of Hierarchical Data Structures for

Multidimensional Digital Images,” IEEE-CS Conference Pattern Recognition and Image Processing, Dallas, TX, August 1981, pp. 42-44.

203. Srihari, S. N., “On the Complexity of Determining Equivalence of Decision Algorithms,”

International Conference Cybernetics and Society, Cambridge, MA, October 1980, pp. 553-556.

204. S. N. Srihari, “Hierarchical Representations for Serial Section Images,” Fifth International

Conference on Pattern Recognition, Miami Beach, FL, December 1980, pp. 1075-1080. 205. Srihari, S. N., “Pattern Classification with Composite Classes,” IEEE-CS Conference on

Pattern Recognition and Image Processing, Chicago, IL, August 1979, pp. 173-180. 206. Srihari, S. N., T. Snabb and L. J. White, “An Algorithm for Determining Identity of Nearest-

neighbor and Potential Function Decision Rules,” IEEE-CS Conference on Pattern Recognition and Image Processing, Chicago, IL, August 1979, pp. 63-70.

207. Srihari, S. N., J. K. Udupa and M. Yau, “Understanding the Bin-of-Parts,” International

Conference on Cybernetics and Society, Denver, CO, October 1979, pp. 44-49. 7.4 Books 1. Srihari, S. N.,Computer Text Recognition and Error Correction: A Tutorial, IEEE Computer

Society Press, 1984, 363 pp. (ISBN 0-8186-0579-0). 7.5 Book Chapters 1. Cha, S.-H., and S. N. Srihari, "Writing Speed and Writing Sequence Invariant On-line

Handwriting Recognition," Pattern Recognition: From Classical to Modern Approaches, S. K. Pal and A. Pal (eds), New Jersey: World Scientific, 2001, pp. 559-574.


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2. Srihari, S. N., W.-J. Yang and V. Govindaraju, “Address Interpretation,” Mail Technology–

Tomorrow’s World: Business Opportunities and Solutions in a Global Market, ImechE, 1999, pp. 147-156.

3. Niyogi, D., S. N. Srihari and V. Govindaraju, “Analysis of Printed Forms,” Handbook of

Character Recognition and Document Image Analysis, H. Bunke and P. S. P. Wang, eds., World Scientific Publishing, 1997, pp. 485-502.

4. Srihari, S. N., G. Srikantan, T. Hong and S. W. Lam, “Research in Japanese OCR,”

Handbook of Character Recognition and Document Image Analysis, H. Bunke and P. S. P. Wang, eds., World Scientific Publishing, 1997, pp. 357-378.

5. Srihari, S. N., T. Hong and G. Srikantan, “Japanese Optical Character Recognition,”

Handbook of Document Image Analysis, H. Bunke and P. S. P. Wang, eds., World Scientific Publishing, 1996.

6. Srihari, S. N., and R. K. Srihari, “Written Language Recognition,” NSF-CEC Joint Survey

on Speech and Natural Language Processing, 1996, pp. 69-74. 7. Govindaraju, V., R. K. Srihari and S. N. Srihari, “Handwritten Text Recognition,”

Document Analysis Systems, A. L. Spitz and A. Dengel eds., World Scientific Publishing, 1995, pp. 288-306.

8. Srihari, S. N., S. W. Lam and J. J., Hull, “Document Recognition for Digital Library,”

Digital Libraries, N. R. Adam, B. K. Bhargara, and Y. Yesha , eds., Springer-Verlag, 1995, pp. 119-128.

9. Fenrich, R., S. Lam and S. N. Srihari, “Optical Character Recognition,” Encyclopedia of

Computer Science and Engineering, A. Ralston, ed., third edition, Van Nostrand, 1992, pp. 993-1000.

10. Srihari, S. N., and V. Govindaraju, “Pattern Recognition,” Encyclopedia of Computer

Science and Engineering, A. Ralston, ed., third edition, Van Nostrand, 1992, pp. 1034-1041. 11. Srihari, S. N., and J. J. Hull, “Character Recognition,” Encyclopedia of Artificial

Intelligence, S. C. Shapiro, ed., second edition, Wiley, 1992, pp. 138-150. 12. Lee, D. S., S. N. Srihari and R. Gaborski, “Bayes and Neural Network Pattern Recognition:

A Theoretical Connection and Empirical Results with Handwritten Digits,” Artificial Neural Networks and Statistical Pattern Recognition, I. S. Sethi and and A. K. Jain, eds., North-Holland, 1991, pp. 89-108.


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13. Srihari, S. N., “High-performance Reading Machines,” Pattern Recognition: Architecture, Algorithms and Applications, R. Plamondon and H. D. Cheng, eds., World Scientific Publishing, 1991, pp. 271-300.

14. Srihari, S. N., “Applications of Expert Systems in Engineering: An Overview,” Knowledge-

Based System Diagnosis, Supervision, and Control, S. G. Tzafestas, ed., Plenum Press, 1989, pp. 1-10.

15. Srihari, S. N., “Feature Extraction for Address Block Location,” From Pixels to Features, J.

C. Simon, ed., North Holland, 1989, pp. 261-274. 16. Srihari, S. N., “The Viterbi Algorithm,” Encyclopedia of Artificial Intelligence, S. C.

Shapiro, ed., Wiley, 1987, pp. 1160-1162. 17. Srihari, S. N., “Multiresolution Representations for 3-D Image Processing and Graphics,”

Multiresolution Image Processing and Analysis, A. Rosenfeld, ed., Springer-Verlag, 1983, pp. 224-236.

18. Jernigan, M. E., and S. N. Srihari, “Pattern Recognition,” Encyclopedia of Computer

Science, A. Ralston, ed., second edition, Van Nostrand Reinhold, 1982, pp. 1110-1119. 19. Altschuler, M. D., Y. Censor, G. T. Herman, A. Lent, R. M. Lewitt, S. N. Srihari, H. Tuy

and J. K. Udupa, “Mathematical Aspects of Image Reconstruction from Projections,” Progress in Pattern Recognition, L. Kanal and A. Rosenfeld, eds., North-Holland, 1981, pp. 323-375.

7.6 Book Review 1. Srihari, S. N., Review of The Bugbook III: Microcomputer Interfacing, by P. Rony, D.

Larsen and J. Titus, Computer, 10, January 1977, p. 10. 7.7 Other Periodicals 1. Sheikholeslami, G., S. N. Srihari, and V. Govindaraju, “Computer-aided Graphology and

Persian Handwriting,” Computer Magazine, 9 (61), 1998, (in Arabic). 7.8 Abridged Papers/Abstracts 1. Srihari, S. N., “Postal Address Finding and Reading,” Electronic Imaging East 90, Boston,

MA, 1990, pp. 208-211. 2. Pawlicki, T., and S. N. Srihari, “Connectionist Neural Network Approach,” Workshop on

Systems and Signal Processing, Bangalore, India, January 1988. 3. Shapiro, S. C., S. N. Srihari, J. Geller, and M.-R. Taie, “A Fault Diagnosis System Based on

an Integrated Knowledge Base,” IEEE Software, March 1986, pp. 48-49.


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4. Srihari, S. N., W. I. Rapaport and D. Kumar, “Natural Language Processing Using SNePS

and Its Relevance to Sanskrit Grammatical Analysis,” First National Conference on Knowledge Representation and Inference in Sanskrit, Bangalore, India, December 1986.

5. Xiang, Z., and S. N. Srihari, “Diagnosis Based on Empirical and Model Knowledge,” IEEE

Software, March 1986, pp. 50-51. (Computation and its application to handwritten digit recognition, Indo-U.S.)

6. Shapiro, S. C., S. N. Srihari, M.-R. Taie and J. Geller, “Development of an Intelligence

Maintenance Assistant,” SIGART Newsletter, 92, April 1985, pp. 48-49. 7. Srihari, S. N., J. J. Hull and R. Choudhari, “An Algorithm for Integrating Diverse

Knowledge Sources in Text Recognition,” ACM Conference Office Information Systems, Philadelphia, 1982, pp. 46-54.

8. Herman, G. T., S. N. Srihari and J. K. Udupa, “Detection of Changing Boundaries in Two

and Three Dimensions,” Workshop Computer Analysis Time-Varying Imagery, Philadelphia, 1979, pp. 14-16.

9. Srihari, S. N., “An Efficient Measurement Selection for Invariant Pattern Recognition,”

Fourth International Cybernetics and Systems Congress, Amsterdam, Netherlands, 1978, pp. 67-68.

10. Srihari, S. N., “Use of Majority-vote in N-Sample Decision-making,” IEEE International

Symposium Information Theory, Ithaca, NY, 1977, p. 29. 11. Srihari, S. N., and L. J. White, “Statistical Classifier Design for Aircraft Identification,”

Third ACM Computer Science Conference, Washington, DC, 1975, p. 57.


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8 DOCTORAL DISSERTATIONS SUPERVISED 1. Sung-Hyuk Cha, Use of Distance Measures in Handwriting Analysis, Computer Science and

Engineering, 2001. Presently Associate Professor, Pace University. 2. Minchul Jung, Font Classification ad Character Segmentation for Postal Address Reading,

Electrical Engineering, 2001. Presently research Scientist at Cedartech, Williamsville, NY. 3. Jaehwa Park, Hierarchical Character Recognition and Its Use in Word/Phrase Recognition,

Electrical Engineering; 1999. Presently with Motorola Lexicus, Palo Alto, CA. 4. Uma Mahadhevan, Robust Vision through Imperfect Eyes: A System for Processing City,

State and ZIP Code Fields in Handwritten Addresses., Computer Science; 1998. 5. Jung Soh, A Theory of Document Object Locator Combination, Computer Science; 1998.

Presently with Defense Research Institute, South Korea. 6. Jeon-Man Park, Address Block Location System Using Multi-Resolution State-Space Search,

Computer Science; 1997. Presently research scientist, Samsung Data Systems, South Korea.

7. Ajay Shekhawat, A Framework for Handwritten Document Recognition, Computer

Science; 1997. Presently Senior Research Scientist, Project Director and Director of Research Labs, CEDAR, SUNY at Buffalo, NY.

8. Gyeonghwan Kim, Recognition of Offline Handwritten Words and Its Extension to Phrase

Recognition, Computer Science; 1996. Presently with Sogang University, South Korea. 9. Sriganesh Madhvanath, Histolic Techniques for Handwritten Word Recognition Engines,

Computer Science; 1996. Presently research scientist, IBM, Almaden Research Center, Almaden, CA.

10. Dar-Shyang Lee, A Theory of Classifier Combinations: The Neural Network Approach,

Computer Science; 1995. Presently with Ricoh Corporation, Menlo Park, CA. 11. Jenchyou Lii, Use of Character Recognition and Syntax in Locating Address Paragraphs in

Complex Documents, Electrical and Computer Engineering; 1995. Presently research scientist with ESS, CA.

12. Ying Liu, Document Image Binarization Based on Texture Analysis, Electrical and

Computer Engineering; 1995. Presently with ADT, St. Louis, MO. 13. Stephen Lam, A Computational Framework for Adaptive Reading in Document Image

Understanding, Computer Science; 1994. Presently at Adaptive Solutions, San Jose, CA.


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14. Debashish Niyogi, A Knowledge-Based Approach to Deriving Logical Structure from Document Images, Computer Science; 1994. Presently with Oracle Corporation, San Mateo, CA.

15. Geetha Srikantan, Image Sampling Rate and Pattern Recognition, Computer Science; 1994.

Presently with Sun Systems, Mountain View, CA. 16. Xin Zhao, Machine-Printed Word Recognition Using Ideal Word Patterns and Lexical

Reduction, Electrical and Computer Engineering; 1994. Presently with Oracle Corporation, San Mateo, CA.

17. Mou-Yen Chen, Handwritten Word Recognition Using Hidden Markov Models, Computer

Science; 1993. 18. John Favata, Recognition of Handwritten Words Using Multi-Level Generate-and-Test,

Ph.D., Computer Science; 1993. Presently at SUNY College, Buffalo, NY. 19. Jiah-Shing Chen, A Probabilistic Theory of Model-Based Diagnosis, Computer Science;

1992. Presently Assistant Professor, Chungliu University, Taiwan. 20. Edward Cohen, Interpreting Handwritten Text in a Structured Environment, Computer

Science; 1992. Presently manager, Software Division, Tritech Technologies. 21. Venugopal Govindaraju, Computational Theory for Locating Human Faces in Photographs,

Computer Science; 1992. Presently Associate Director, CEDAR, SUNY at Buffalo. 22. Tin-Kam Ho, Theory of Multiple Classifier Systems and Its Application to Visual Word

Recognition, Computer Science; 1992. Presently member of technical staff, Lucent Technologies, Murray Hills, NJ.

23. Jonathan J. Hull, A Computational Theory of Visual Word Recognition, Computer Science;

1988. Presently Research Director, Ricoh Corporation, Menlo Park, CA. 24. Ching-huei Wang, Object Recognition in a Visually Complex Environment and Its

Application to Locating Address Blocks on Mail Pieces, Computer Science; 1988. Presently research scientist, Boeing Electronics Corporation, Seattle, WA.

25. Zhigang Xiang, Multi-Level, Model-Based Diagnostic Reasoning, Computer Science;

1988. Presently Assistant Professor, Queens College, CUNY, New York, NY. 26. Mingruey R. Taie, Representation of Device Knowledge for Versatile Fault Diagnosis,

Computer Science; 1987. Presently member of technical staff, AT&T Bell Labs, Middletown, NJ.

27. Radmilo M. Bozinovic, Recognition of Cursive Script: A Case of Multi-Level Perception,

Computer Science; 1985. Presently at Apple Computer Corporation, Cupertino, CA.


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28. Mann-May Yau, Hierarchical Representation of Three Dimensional Digital Objects, Computer Science; 1983. Presently member of technical staff, AT&T Bell Labs, Middletown, NJ.


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9 INVITED LECTURES AND CONFERENCE PRESENTATIONS Date Organization/Auspices Location

April 27, 2002 Southwest Association of Forensic Document Examiners San Diego, CA

February 2002 Annual National Institute of Justice Grantees Meeting Atlanta, GA

January 21-22, 2002 Ninth International Conference on Document Recognition and Retrieval (SPIE) San Jose, CA

November 9, 2001 Canadian Forensic Sciences Conference Toronto, Canada November 2001 US Postal Inspection Service Washington, DC October 2001 Indian Institute of Science Bangalore, India

September 10-13, 2001 Sixth International Conference on Document Analysis and Recognition Seattle, WA

July 27, 2001 US Secret Service Washington, DC July 20, 2001 US Postal Inspection Service Washington, DC

April 24, 2001 Symposium for Document Image Understanding Technology Annapolis, MD

February 21, 2001 Annual National Institute of Justice Grantees Meeting Seattle, WA

April 14, 2000 University of Southwestern Louisiana Baton Rouge, LA

March 16-19, 2000 International Conference in Honor of Prof. C. R. Rao (University of Texas) San Antonio, TX

February 20, 2000 Annual National Institute of Justice Grantees Meeting Reno, NV

December 23, 1999 Indian Statistical Institute Calcutta, India

November 1999 University of Rochester Computer Science Colloquium Rochester, NY

September 20-22, 1999 Fifth International Conference on Document Analysis and Recognition Bangalore, India

August 15-16, 1999 Purdue University Advances in Image Processing and Understanding W. Lafayette, IN

January 5-7, 1999 Second International Conference on Multimodal Interface

Kowloon Tong, Hong Kong

August 16-20, 1998 International Conference on Pattern Recognition Brisbane, Australia

October 15, 1997 SUNY at Buffalo Buffalo, NY

August 18-20, 1997 Fourth International Conference on Document Analysis and Recognition Ulm, Germany

August 25-29, 1997 Thirteenth International Conference of Pattern Recognition Vienna, Austria

August 1997 United States Postal Service Buffalo, NY June 1997 Epcot Center Orlando, FL


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April 30, 1997 Symposium on Document Image Understanding Technology Annapolis, MD

April 23-25, 1997 International Conference on Computer Systems for Industrial Applications Hsinchu, Taiwan

March 3-4, 1997 United States Postal Service Rochester, NY

February 10-12, 1997 International Conference on Computational Intelligence and Multimedia Applications

Gold Coast, Australia

November 20, 1996 University of Mysore Mysore, India October 16-29, 1996 University of Bari Bari, Italy

September 2-5, 1996 Fifth International Conference on the Frontiers in Handwriting Recognition

Colchester, England

October 15, 1995 Third International Conference on Document Analysis and Recognition Montreal, Canada

February 28, 1995 Concordia University, CS Department Montreal, Canada February 9, 1995 Information Sciences Institute, USC Los Angeles, CA. February 8, 1995 SPIE Conference San Jose, CA

December 8, 1994 International Workshop Handwriting Recognition Tapei, Taiwan

December 5, 1994 Yonsei University Seoul, S. Korea

October 10, 1994 Document Analysis Systems Conference Kaiserslautern, Germany

October 5, 1994 Tata Consultancy Services Bombay, India September 30, 1994 Indian Institute of Science Bangalore, India

June 20, 1994 Digital Libraries Conference College Station, TX

May 19, 1994 Digital Libraries Conference Newark, NJ February 10, 1994 SPIE Conference San Jose, CA

October 22, 1993 International Conference on Document Analysis and Recognition

Tsukuba Science City, Japan

August 18, 1993 National Library of Medicine Bethesda, MD May 14, 1993 SUNY at Stony Brook Stony Brook, NY

April 25, 1993 Document Analysis and Information Retrieval Symposium Las Vegas, NV

April 1, 1993 Princeton University Princeton, NJ Jan 4, 1993 Indian Institute of Science Bangalore, India

July 9, 1992 DARPA Workshop on Man-Machine Communications Endicott, MA

May 12, 1992 University of North Carolina - IBM Symposium Charlotte, NC

May 6, 1992 DARPA Workshop on Document Understanding Palo Alto, CA

January 28, 1992 Ricoh Corporation Kawasaki, Japan

January 26, 1992 Institute for Posts and Telecommunications Policy Tokyo, Japan


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October 1, 1991 First International Conference on Document Analysis and Recognition St. Malo, France

December 18, 1990 Knowledge Based Computer Systems IV Pune, India November 6, 1990 USPS Advanced Technology Conference Washington, DC October 30, 1990 Electronic Imaging East Boston, MA May 16, 1990 Vision Interface Halifax, Canada

April 2, 1990 International Workshop on Frontiers of Handwriting Recognition Montreal, Canada

December 11, 1989 International Conference on Knowledge Based Computer Systems Bombay, India

October 18, 1989 Association Intelligent System Technologies Syracuse, NY September 25, 1989 Science Research Automation Council Leningrad, USSR

September 8, 1989 COST-13 Summer School on From Pixels to Features Bonas, France

August 15, 1989 Northeast Artificial Intelligence Consortium Conference

Blue Mountain Lake, NY

June 12, 1989 Image Understanding and Machine Vision (OSA Topical Meeting) Cape Cod, MA

June 5, 1989 IEEE-CS Computer Vision and Pattern Recognition Conference San Diego, CA

January 19, 1989 MITRE Corporation McLean, VA

November 30, 1988 South East Asia Regional Computer Confederation Conference New Delhi, India

October 24, 1988 AT&T Bell Laboratories Murray Hill, NJ

September 6, 1988 CAS International Summer Seminar on Artificial Intelligence

Dubrovnik, Yugoslavia

August 24, 1988 COST-13 Workshop on From Pixels to Predicates Bonas, France

May 30, 1988 Eighth International Workshop on Expert Systems Avignon, France

January 8, 1988 Indo-US Workshop on Systems and Signal Processing Bangalore, India

January 4, 1988 Image Processing & AI Seminar - Indotronix Corp. Hyderabad, India

December 29, 1987 Tata Research Design and Development Center Pune, India

October 28, 1987 International Workshop on Expert Systems & Pattern Recognition

Novosibirsk, USSR

August 25, 1987 International Joint Conference on Artificial Intelligence Milan, Italy

May 21, 1987 Society of Photographic Scientists and Engineers Rochester, NY

May 11, 1987 Seventh International Workshop on Expert Systems Avignon, France


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April 9, 1987 USPS Office of Advanced Technology, Technology Advisory Board Washington, DC

January 6, 1987 Institute of Electronics and Telecommunications Engineers Bangalore, India

January 6, 1987 Indian Institute of Science, ECE Department Bangalore, India

December 30, 1986 Indian Institute of Technology, Department of CS Madras, India

December 20, 1986 Conference on Knowledge Representation and Inference in Sanskrit Bangalore, India

November 20, 1986 ACM-IEEE Chapter Rochester, NY November 5, 1986 Fall Joint Computer Conference Dallas, Texas

October 28, 1986 Eighth International Conference on Pattern Recognition Paris, France

October 22, 1986 USPS Advanced Technology Conference Washington, DC October 15, 1986 SUNY Biophysics Department Buffalo, NY

Sepember 20, 1986 Northeast Artificial Intelligence Consortium Conference Buffalo, NY

July 10, 1986 Northeast Artificial Intelligence Consortium Conference Rochester, NY

April 29, 1986 AEG-Telefunken Ulm, W. Germany

April 28, 1986 Sixth International Workshop on Expert Systems Avignon, France

April 19, 1986 AI Applications to Engineering Southampton, England

March 20, 1986 SUNY College at Brockport Brockport, NY

December 10, 1985 Second Artificial Intelligence Applications Conference Miami Beach, FL

November 4, 1985 University of Rochester, Department of Computer Science Rochester, NY

October 23, 1985 Expert Systems in Government Symposium McLean, VA

September 27, 1985 Xerox Webster Research Center, Cognitive System Group Webster, NY

September 11, 1985 Calspan - UB series (ECE Department) Amherst, NY August 20, 1985 Rome Air Development Center Rome, NY

July 17, 1985 Northeast Artificial Intelligence Consortium Conference Minnowbrook, NY

June 28, 1985 Arthur D. Little, Inc. Washington, DC June 28, 1985 USPS Technology Resource Department Washington, DC

May 13, 1985 Fifth International Workshop on Expert Systems Avignon, France

April 16, 1985 National Computer Graphics Association Conference Dallas, TX

February 25, 1985 Goal-Directed Computer Vision Workshop Orlando, FL


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February 19, 1985 USPS Advanced Technology Conference Washington, DC

December 18, 1984 Indian Institute of Science, School of Automation Bangalore, India

December 17, 1984 Electronics and Radar Development Establishment (LRDE) Bangalore, India

December 10, 1984 International Conference Computers, Systems Bangalore, India

August 1, 1984 Seventh International Conference on Pattern Recognition Montreal, Canada

July 20, 1984 Xerox Webster Research Center, Imaging Systems Lab Rochester, NY

June 4, 1984 Artificial Intelligence: Relevance to Indian Industry (TRDDC Workshop) Pune, India

May 28, 1984 University of Maryland, Computer Vision Laboratory College Park, MD

April 1, 1984 University of Michigan, Department of EE and CS Ann Arbor, MI

July 21, 1983 Multiresolution Image Processing & Analysis Workshop Leesburg, VA

April 10, 1983 Honeywell Users Group Buffalo, NY

January 12, 1983 Indian Institute of Technology, Department of CS Madras, India

January 5, 1983 Indian Institute of Science, School of Automation Bangalore, India

December 22, 1982 Tata Institute of Fundamental Research Bombay, India

October10, 1982 International Conference on Cybernetics and Society Seattle, WA

August 20, 1982 AAAI-82 National Conference on Artificial Intelligence Pittsburgh, PA

June 21, 1982 ACM Conference on Office Information Systems Philadelphia, PA

June 16, 1982 IEEE-CS Conference Pattern Recognition & Image Processing Las Vegas, NV

June 8, 1982 AFIPS National Computer Conference Houston, TX

August 3, 1981 IEEE-CS Conference Pattern Recognition & Image Processing Dallas, TX

June 10, 1981 Canadian Man-Computer Communications Society Conference Waterloo, Ontario

December 1, 1980 Fifth International Conference on Pattern Recognition Miami Beach, FL

October 8, 1980 International Conference Cybernetics and Society (IEEE-SMC) Cambridge, MA

October 10, 1979 International Conference Cybernetics and Society (IEEE-SMC) Denver, CO


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August 7, 1979 IEEE-CS Conference Pattern Recognition & Image Processing Chicago, IL

August 22, 1978 Fourth International Cybernetics and Systems Congress

Amsterdam, Netherlands

July 20, 1978 Indian Institute of Science, School of Automation Bangalore, India

June 1, 1978 IEEE-CS Conference Pattern Recognition & Image Processing Chicago, IL

March 5, 1978 Michigan State University, Department of CS East Lansing, MI January 20, 1978 ACM Computer Science Conference Detroit, MI

October 7, 1977 IEEE International Symposium on Information Theory Ithaca, NY

February 2, 1975 ACM Computer Science Conference Washington, DC

Sargur N. Srihari · Sargur N. Srihari—Curriculum Vitae 4 5 HONORS SUNY Outstanding Inventor...

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