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Face Detection : Challenges
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.
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
Passive identification
More user friendly
Inexpensive technique of identification
Advantages of face recognition
 Poor lighting
 Sunglasses
 Long hair
 Low resolution
 Other objects on face eg tattoo
 Face can be detected from front it is not
applicable from left and right.
Disadvantages of face recognition
Face Recognition information_ hiding.ppt

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Face Recognition information_ hiding.ppt

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Face Detection : Challenges
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. 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.
  • 15. 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 Passive identification More user friendly Inexpensive technique of identification Advantages of face recognition
  • 16.  Poor lighting  Sunglasses  Long hair  Low resolution  Other objects on face eg tattoo  Face can be detected from front it is not applicable from left and right. Disadvantages of face recognition