Face recognition technology
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FACE RECOGNITION TECHNOLOGY. JITHIN.S.J. S7 CSE. FACE RECOGNITION. All identification and authentication technologies operate using the 4 stage procedure capture extraction comparison match/nonmatch. There are two methods of capture Video imaging

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FACE RECOGNITION TECHNOLOGY

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Face recognition technology

FACE RECOGNITION TECHNOLOGY

JITHIN.S.J.

S7 CSE.

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Face recognition

FACE RECOGNITION

All identification and authentication technologies operate using the 4 stage procedure

  • capture

  • extraction

  • comparison

  • match/nonmatch

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Face recognition technology

There are two methods of capture

  • Video imaging

    Video imaging uses video cameras.

    System performance depends on precise position, angle of the head and surrounding lighting condition.

  • Thermal imaging

    Thermal imaging has better accuracy as it uses facial temperature variation.

    Disadvantage is that its very costly.

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Capturing of image by standard video cameras

CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS

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Components of face reconition system

COMPONENTS OF FACE RECONITION SYSTEM

Consists of three modules

  • Enrollment module

  • Database

  • Identification

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Performance parameters

Performance Parameters

  • False acceptance rate,FAR= NFA/NIIA

    NFA= number of false acceptance

    NIIA=no of imposter identification attempt

  • False rejection rate,FRR = NFR/NEIA

    NFR=number of false rejection

    NEIA=number of enrollee identification attempt

  • Threshold/decision threshold

  • Equal error rate

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Implementation of face recognition technology

IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY

  • Data acquisition

  • Input processing

  • Face image classification and decision making

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How face recognition systems works an example

HOW FACE RECOGNITION SYSTEMS WORKS-an example

  • Visionics, a company based in New Jersey

  • Faceit

  • There are distinguishable landmark on your face called peaks and valleys-nodal points

  • 80 nodal points on human face like

    -distance between eyes

    -width of nose

    -depth of eye socket

    -cheek bones

    -jawline

    -chin

  • faceit needs 14 to 20 nodal points

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The software

THE SOFTWARE

The basic process used by Faceit system are

  • Detection

  • Alignment

  • Normalisation

  • Representation

  • Matching

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Advantages and disadvantages

ADVANTAGES AND DISADVANTAGES

ADVANTAGES

  • Convenient, social acceptability

  • Easy to use

  • Inexpensive technique of identification

    DISADVANTAGES

  • Problem with false rejection when people change their hair style, grow or shave a beard or wear glasses.

  • Identical twins

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Why we choose face recognition

WHY WE CHOOSE FACE RECOGNITION

  • No physical interaction on behalf of the user

  • Does not require an expert to interpret the comparison

  • Can use existing hardware infrastructure

  • Can use existing image without having to re-enroll everytime

  • Only biometric that allows you to perform passive identification in a one to many environment

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Applications

APPLICATIONS

  • Replacement of PIN,physical tokens

  • No need of human assistance for identification

  • Prison visitor systems

  • Border control

  • Voting system

  • Computer security

  • Banking using ATM

  • Physical access control of buildings,areas etc

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Conclusion

CONCLUSION

  • Cost of equipments is going down-cost effective

  • Reliable

  • No technological or financial barriers

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Face recognition technology

Thank you

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