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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

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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slide3
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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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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slide14
Thank you

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