MS first presentatio

8/7/2019 MS first presentatio

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In The Name Of ALLAH, The MostBeneficent, The Most Merciful


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Fingerprint ImageFingerprint Image

Enhancement usingEnhancement using DFB andDFB andDiffusion FiltersDiffusion Filters


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Fingerprint Image Enhancement using DFB andFingerprint Image Enhancement using DFB and

Diffusion FiltersDiffusion Filters

A MS Thesis

Supervised

by

Dr. Shoab A. Khan Department Of Electrical Engineering

CASE Islamabad


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Presented By

Tariq Mahmood Khan F-09-014

Fin g e rp rin t Im a g e E n h a n ce m e n t u sin g D FB a n dFin g e rp rin t Im a g e E n h a n cem e n t u sin g D FB a n dD iffu sio n Filte rsD iffu sio n Filte rs


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WHAT IS FINGERPRINT.???WHAT IS FINGERPRINT.???


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A fingerprint in its narrow sense is an impressionleft by the friction ridges of a human finger.[wikipedia.com]

OR

The impression of a fingertip on anysurface[merriam- Webster]

OR

An ink impression of the lines upon the fingertiptaken for the purpose ofidentification[wordiq.com]


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WHY IT IS HIGHLY

...RECOMMENDED ???

Fingerprint-based systems continue to be the leadingbiometric technology in terms of market share

[Handbook offingerprintrecognition

by DavideMaltoni 2nd

]edition


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AnalysisAnalysisBiometricidentifier

Universality

Distinctiveness

Permanence

Collectability

Performance

Acceptability

Circumvention

Face H L M H L H H

Fingerprints

M H H M H M MHandgeometry

M M M H M L M

Hand/finger vein

M M M M M M L

Iris H H H M H L LSignature L L L H L H H

Voice M L L M L H H

[Handbook of fingerprint recognition byDavide Maltoni 2nd ]edition


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APPLICATIONSAPPLICATIONS

[Handbook of fingerprint recognition byDavide Maltoni 2nd ]edition


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IDENTIFAICATION FEATURES INIDENTIFAICATION FEATURES INFINGERPRINTSFINGERPRINTSRIDGES AND VALLEYS


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RIDGES AND VALLEYSRIDGES AND VALLEYS


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FINGERPRINT CLASSIFICATIONFINGERPRINT CLASSIFICATIONGLOBAL FEATURES LEVEL 1GLOBAL FEATURES LEVEL 1


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:GLOBAL FEATURES LEVEL 1 DETAIL:GLOBAL FEATURES LEVEL 1 DETAIL


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RIDGE TERMINATION ANDRIDGE TERMINATION ANDBIFURCATIONBIFURCATION


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-REAL TIME FINGERPRINTS IMAGES-REAL TIME FINGERPRINTS IMAGES & :CUTS BRUISES

Include scratches

Ridge breaks


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-REAL TIME FINGERPRINTS IMAGES-REAL TIME FINGERPRINTS IMAGES IncompleteSamples

Well definedsample(a)

Defected butrecoverablesample(b)

Noise dominant


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-REAL TIME FINGERPRINTS IMAGES-REAL TIME FINGERPRINTS IMAGES SWEATING

The white dots

which are presenton the surface ofridges(black lines)


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-REAL TIME FINGERPRINTS IMAGES-REAL TIME FINGERPRINTS IMAGES&NOISES LACK OF

SMOOTHING OF INK

,W h e re b la cksp o ts in

irre g u la r,m a n n e r

represents

p o in t d u e tola ck o f

sm o o th in g o f....in k


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PROBLEM SOLUTION

DFB

ORIENTATION MAP

FILTERING TECHNIQUES

ENHANCEMENT

DIFFUSION

IRECTIONAL DECOMPOSITON

STFT

COMPARISON

SOLUTIONS

NOISE REMOVAL

NOT SELECTED

CONCLUSION

SEGMENTATION

REMOVING NOISE

SEGMENTATIONREMOVING NOISE

DIFFUSIONENHANCEMENT


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SEGMENTATIONSEGMENTATION

We use the variance to separate the.background from the image pattern

, ,Using window size threshold and image asparameters we compute the variance of an.image


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Samples

( )a( )b ( )c

( )d ( )e () f

, , .Figure a b c are the original images

, , .Figure d e f are the results of segmentation


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, , .Figure g h i are the original images

, , .Figure j k l are the results of segmentation

( )g ( )h ( )i

( )j ( )k ( )l


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Removing noiseRemoving noiseUsing homomorphic Butterworth band pass filter

.we ve remove the noise from the given image


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Samples

( )d ( )e ( )f

, ,Figure d e f are used as input images for the removing

.noise step

( )d1 ( )e1 ( )f1


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( )g ( )h ( )i

( )g1 ( )h1 ( )i1

, ,Figure g h i are used as input images for the removing

.noise step , ,Figure g1 h1 i1 are the results of removing noise


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Orientation map


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First of all we applied Sobel mask onimage.

Gaussian filter was applied with Gx

(change in x direction), Gy (changein y direction), Gxy (change in bothdirection)

This variance and covariance overwindow size using equations

ORIENTATION MAP PROCEDURE


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Then weve calculated average ridge

valley direction to make itperpendicular to

Then weve calculated length of

orientation vector lines with thedifference of spacing to acquire valuesthen convert it to rectangular co-ordinates from phase.


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REFERENCES

Handbook of fingerprint recognition byDavide MaltoniAn adaptive Algorithm for improved

.Enhancement of Fingerprints by Prof. .( )Dr Mohiny Hadhoud 2006 :Pores and Ridges Fingerprint Matching

,Using level 3 Feature by Anil Jain Yi

( )Chen 2006

.Wikipedia com


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REFERENCES

Fingerprint Identification Based onRigdeLines and Graph Matching by, ( )Honglei Wei Zongying Ou 2006

Rotation Invariant Thinning Algorithm toDetect Ridge Bifurication for Fingerprint. ,Identification by Pradeep M Patil VIT

. ,Pune Shekar R Suralkar SSBT s COETJalgaon

Ridge Enhancement in Fingerprint ImagesUsing Oriented Diffusion by Robert

Hastings


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REFERENCES

Systematic Methods for theComputation of the Directional

Fields and Singular Points of.Fingerprints by Asker M Bazen and

.Sabih H Gerez .WordIq com

-Merriam Webster Dictionary


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ANY

....QUESTIONS


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