FACE RECOGNITION TECHNOLOGY

Presented by:

Vivek Kumar SoniRegd No. 1101209162

CONTENTS1. Motivation

2. Introduction

3. FRT Over Others

4. Operations

5. Development

6. Algorithms

7. Performance

8. Applications

9. Conclusion

10. References

• Increasing demand of fast and accurate authentication

and identification.

• Reducing use of paper and pencil.

• Encouraging more of electronic transactions.

MOTIVATION

• A form of biometric.

• Based on ability to recognize face.

• System compares the scans to records stored in

central or local database or even on a smart card.

INTRODUCTION

• Highly accurate and high enrolment and verification

rates.

• Does not require an expert.

• Uses existing hardware infrastructure.

• Allows to perform passive identification.

WHY FRT OVER OTHER BIOMETRICS?

1. Verification

2. Identification

3. Watch List Task

FRT IN OPERATION

VERIFICATION

Possible Outcomes in Verification

IDENTIFICATION

Possible Outcomes in Identification

WATCH LIST TASK

Possible Outcomes in Watch List Task

1. Detecting a Face

2. Normalization

3. Feature Extraction

4. Recognition

DEVELOPMENT OF FRS

1. Principal Components Analysis

2. Linear Discriminant Analysis

3. Elastic Bunch Graph Matching

FACE RECOGNITION ALGORITHMS

• False Acceptance Rate(FAR)

- The probability of incorrectly identifying an individual or failing to reject an imposter.• False Reject Rate(FRR)

- The probability of failing to identify an enrolee.

For an efficient system both FAR and FRR values should be very less.

PERFORMANCE

• Security

• Authentication

• Back-end Verification

APPLICATIONS

• Convenient and socially acceptable.

• Easy to use and can be used without the

knowledge of the probe.

• It is very inexpensive and its price should

continue to go down.

ADVANTAGES

• Can’t tell the difference between twins.

• Imposters can easily authenticate themselves by using

clowns.

DISADVANTAGES

• Face recognition technologies have been associated

generally with very costly top secure applications.

• Today the core technologies have evolved and the cost of

equipment is going down dramatically.

• Certain application of face recognition technology are

now cost effective, reliable and highly accurate.

CONCLUSION

[1].http://

www.fbi.gov/about-us/cjis/fingerprints_biometrics/biometric-center-of-excell

ence/modalities/

Downloaded on 14/01/14 at 23:58

[2].Lucas D. Introna, Helen Nissenbaum, “Facial Recognition Technology: A

Survey of Policy and Implementation Issues”, New York University, pp. 10-40

[3].http://en.wikipedia.org/wiki/Facial_recognition_system, Downloaded on

17/01/14 at 18.38

REFERENCES

Queries Please

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THANK YOU