Face Recognition Technology

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Presentation Transcript

FACE RECOGNITION TECHNOLOGY:

FACE RECOGNITION TECHNOLOGY

CONTENTS:

INTRODUCTION WHAT IS BIOMETRICS? WHY FACE RECOGNITION? FACE RECOGNITION COMPONENTS OF FACE RECOGNITION SYSTEM PERFORMANCE IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY THE SOFTWARE ADVANTAGES AND DISADVANTAGES APPLICATIONS CONCLUSION CONTENTS

INTRODUCTION:

Complex and largely software based technique Analyze unique shape, pattern &positioning of facial features It compare scans to records stored in central or local database or even on a smart card INTRODUCTION

WHAT IS BIOMETRICS? :

It is a unique measurable characteristics of a human being Used to automatically recognize an individual’s identity Two types 1.physiological & 2. behavioral characteristics include A “biometric system” refers to integrated hardware and software used to conduct biometic identification WHAT IS BIOMETRICS?

WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS:

It requires no physical interaction on behalf of user It is accurate and allows for high enrolment and verification Not require an expert to interpret the comparison result Can use your existing infrastructure Passive identification WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS

FACE RECOGNITION:

Two types of comparison in face recognition 1.Verification- The system compare the given individual with who that individual says they are. 2 .Identification-The system compares a given individual to all the other individuals in the database and gives a ranked list of matches. FACE RECOGNITION

Slide 7:

Capture Extraction Comparison Match/Non match Accept/Project STAGES OF IDENTIFICATION

FOUR STAGES OF IDENTIFICATION:

Capture-Capture the behavioral sample Extraction-unique data is extracted from the sample and a template is created. Comparison-the template is compared with a new sample. Match/non match-the system decides whether the new samples are matched or not. FOUR STAGES OF IDENTIFICATION

3D GRAPHICAL MODELS OF FACES :

3D GRAPHICAL MODELS OF FACES

COMPONENTS OF FACE RECOGNITION:

Enrollment module-An automated mechanism that scans and captures a digital or analog image of a living personal characteristics Database-Another entity which handles compression ,processing ,data storage and compression of the captured data with stored data Identification module-The third interfaces with the application system COMPONENTS OF FACE RECOGNITION

Slide 11:

Face System Data base Preprocessing & segmentation Analysis Analysis Data Preprocessing & Segmentation Analysis Face rag & scoring Enrollment Module reject Verification Module User Interface

PERFORMANCE:

False Acceptance Rate [FAR] False Rejection Rates [FRR] Response time Threshold/decision Threshold Enrollment time Equal error rate PERFORMANCE

IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY.:

Data acquisition Input processing Face image classification Decision making IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY .

THE SOFTWARE:

Detection Alignment Normalization Representation Matching THE SOFTWARE

ADVANTAGE:

Convenience and social acceptability Easy to use Inexpensive biometric ADVANTAGE

DISADVANTAGE:

Face recognition systems can’t tell the difference between identical twins DISADVANTAGE

APPLICATIONS:

Government Use 1. Law enforcement 2.Security/counterterrorism 3.Immigration Commercial Use 1.Day care 2.Residential security 3.Voter verification 4.Banking using ATM APPLICATIONS

CONCLUSION:

Face recognition technologies have been associated generally with very costly top secure applications. Today the core technologies have evolved and the cost of equipments is going down dramatically due to the integration and the increasing processing power. Certain applications of face recognition technology are now cost effective ,reliable and highly accurate. As a result there are no technological or financial barriers for stepping from the pilot project to widespread deployment CONCLUSION