face recognation
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Transcript of face recognation
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S_Name: Hamza Yusuf Mohammed St_No : 216 Supervised by: Mrs. Eman Al Sahle.
Libya Benghazi University of Garyounis
Faculty of Information Technology Department Network and computer communication
Graduation project Login Using biometric(server)
Spring term: (2009 – 2010).
ABSTRACT
This project is able to recognize a
person’s face by comparing facial structure to that of a known person , This is achieved by using forward facing photographs of individuals to render a two-dimensional representation of a human head , it can identify the person with a high rate of success , Then allow this person access to the server .
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Stage 1Plan of project
Review of
biometric Systems
Authentications
Languages
Stage 2
Block Diagram
Implement
Test
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Time tableWeek1
Week2
Week3
Week4
Week5
Week6
Week7
Week8
Week9
Week10
Week11
Week12
Week13
Week14
SecurityCompanion
Why BioAnd history
Application of Bio
History of logon web
About Server (benefit)
Face recognition
Learn C#
Ajax
block diagram
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complete non complete
Overview
Authentications
Biometric Systems
Introduction
Goal of project
Applications
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Face Recognition
Tools
Goal of Project
Using the technology of recognition biometric
in order to access a server , The recognition is confirmed by the server.
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Introduction
The term biometrics is derived from the Greek words bio (life) and metric (to measure).
History In the fourteenth century in China.
In the 1890s, an anthropologist and police .
From 1960s to 2010 the biometric used and developer in Systems Security .
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Introduction.cont
Why Biometrics ?Because the protection systems of traditional parity emerged easy to penetrate, in many ways .
Traditional security :Keys and LocksUsername and PasswordElectronic Card
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Biometric SystemsPhysical biometrics:
Behavioral biometrics:
Facial recognition Fingerprint Hand geometry Iris scan Retinal scan Vascular DNA
Voice recognition Signature/handwriting Keystroke/patterning
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Face Recognition
Facial-scan technology utilizes distinctive features of the human face in order to verify or identify individuals.
General Face Recognition Steps : Face Detection Face Normalization Face Identification
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Face Recognition
What Is Difficult About Face Recognition : Lighting variation Orientation variation (face angle) Large database Processor intensive Time requirements
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Face Recognition
PCA Algorithms :
Principle Component Analysis(CA) Look at the principal components of the
distribution of faces.
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System requirements
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Sensors(Devi
ce)
- Algorithms
- System
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Block Diagram
Web Cam
Web PageIn client
ApplicationServerFace
RecognitionAlgorithm
Web Page login
Send Image
Dat
aba
se
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Receive ImageNetwork
Internet
Authentication
Identification : Compare information for people with the
database , Application of a face recognition algorithm (PCA).
Verification : ensure the safety inputs this information, and
user credibility
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Current Biometric Applications
Workstation
Network and Domain access
Application logon
Remote access to resources
Web security
ATMs
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Tools
program Language : Asp.NET Ajax C# JavaScript SQL
program developer : Visual studio 2010 SQL Server 2008 (Database)
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Reference
[1] An Introduction to Biometric Recognition , by Anil K. Jain, Arun Ross and Salil Prabhakar. 1, January 2004.
[2] Biometrics ,Identity Verification in a Networked World . A Wiley Tech Brief by Samir Nanavati , Michael Thieme and Raj Nanavati ,2002.
[3] Advances in Biometrics Sensors, Algorithms and Systems,by Nalini K. Ratha and Venu Govindaraju.
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