facial recognition technology

NISHANT KUMAR SINHA

FACIAL RECOGNITION TECHNOLOGY

INFORMATION TECHNOLOGY

0801291260

Road Map Introduction to Facial Recognition Technology History and Development Identification Procedure Motivation Implementation & Performance Algorithm Used

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INTRODUCTION

INTRODUCTION

Facial recognition is a form of computer vision that uses faces to attempt to identify a person or verify a person’s claimed identity. Regardless of specific method used, the facial recognition is accomplished in a five step process.

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HISTORY AND DEVELOPMENT

HISTORY & DEVELOPMENT•Late 1980s: Research• Mid 1990s: Commercialization• Current

- Authentication

- ID

- Law Enforcement

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HISTORY & DEVELOPMENT• September 24, 1999: OLETC ILEFIS

- 64 facial features

- 256 unique shapes / feature

- quicker processing, look-up time• January 2001: Privacy Debate

- Super Bowl

- Tampa Entertainment District• September 11, 2001: Impact on Market

- Visionics

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HISTORY & DEVELOPMENT•September 21, 2001: Looking Ahead

- Colorado DMV: July 2001

- Neighborhoods (ie, Tampa Police Department)

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IDENTIFICATION PROCEDURE

FACE RECOGNITIONTwo 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.

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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.

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MOTIVATION

MOTIVATION - SECURITY Recognize criminals

1. In public spaces (airports, shopping centers)

2. In stores Verify identity to grant access in restricted

areas: non-invasive Biometrics1.Airports

2.Office

3.Risk: privacy rights

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MOTIVATION–HUMAN MACHINE INTERFACE

Government Use1. Law enforcement2.Security/counterterrorism3.Immigration

Commercial Use1. Cell phones (Omron, Iphone, etc)2. Residential security3. Voter verification4. Banking using ATM

5. Computers

6. Intelligent buildings

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IMPLEMENTATION & PERFORMANCE

IMPLEMENTATION & PERFORMANCE

IMPLEMENTATION•Data acquisition•Input processing•Face image classification•Decision making

IMPLEMENTATION• False Acceptance Rate [FAR]• False Rejection Rates [FRR]• Response time• Decision Threshold• Enrollment time

ALGORITHM

PRINCIPAL COMPONENT ANALYSISIN

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PRINCIPAL COMPONENT ANALYSISIN

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LINEAR DISCRIMINANT ANALYSISIN

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LINEAR DISCRIMINANT ANALYSISIN

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CONCLUSION

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.

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