LOGO

PowerPoint

Template

www.themegallery.com

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 .

218

Stage 1Plan of project

Review of

biometric Systems

Authentications

Languages

Stage 2

Block Diagram

Implement

Test

318

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

418

complete non complete

Overview

Authentications

Biometric Systems

Introduction

Goal of project

Applications

518

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.

618

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 .

718

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

818

Biometric SystemsPhysical biometrics:

Behavioral biometrics:

Facial recognition Fingerprint Hand geometry Iris scan Retinal scan Vascular DNA

Voice recognition Signature/handwriting Keystroke/patterning

918

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

101

8

Face Recognition

What Is Difficult About Face Recognition : Lighting variation Orientation variation (face angle) Large database Processor intensive Time requirements

111

8

Face Recognition

PCA Algorithms :

Principle Component Analysis(CA) Look at the principal components of the

distribution of faces.

121

8

System requirements

-

Sensors(Devi

ce)

- Algorithms

- System

131

8

Block Diagram

Web Cam

Web PageIn client

ApplicationServerFace

RecognitionAlgorithm

Web Page login

Send Image

Dat

aba

se

141

8

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

151

8

Current Biometric Applications

Workstation

Network and Domain access

Application logon

Remote access to resources

Web security

ATMs

161

8

Tools

program Language : Asp.NET Ajax C# JavaScript SQL

program developer : Visual studio 2010 SQL Server 2008 (Database)

171

8

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.

181

8

LOGO