powerpoint presentation on Face ricognition technology By:- AJAY SHARMA

1. Face Recognition
Technology
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2. Biometrics
A biometrics is a unique, measurable
characteristic of a human being that can be used to
automatically recognize an individual or verify an
individual identity.
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3. Physiological Biometrics include:
a.Finger-scan
b.Facial Recognition
c.Iris-scan
d. Retina-scan
e. Hand-scan
f. Voice-scan
g. Signature-scan
h. Keystroke-scan
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4. Face Recognition
Facial recognition is a form of computer vision that uses
faces to attempt to identify a person or verify a person’s
claimed identity. For face recognition there are two types
of comparisons,
•The first is verification &
•The second is identification.
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6. All identification technologies operate using the
following four stages:
•Capture,
•Extraction,
•Comparison &
•Match or non match.
Face recognition technology analyze the unique shape,
pattern and positioning of the facial features. Face
recognition is very complex technology and is largely
software based.
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7. Implementation of face recognition
technology:
The implementation of face recognition technology
includes the following stages:
1.Data acquisition
2.Input processing
3.Face image classification
4.decision making
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8. Data acquisition
The input can be recorded video of
the speaker or a still image. A sample
of 1 sec duration consists of a 25
frame video sequence.
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9. Input processing
A pre-processing module locates the eye position
and takes care of the surrounding lighting
condition and colour variance. In particular the
mouth is subjected to fundamental changes but is
also very important source for discriminating
faces.
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10. How face recognition system work ?
Face recognition system work by a particular software.
There are about 80 nodal points on a human face. Here
are few nodal points that are measured by the software
:
• distance between the eyes
• width of the nose
• depth of the eye socket
• cheekbones
• jaw line
• chin
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11. The Software
Facial recognition software falls into a larger
group of technologies known as biometrics. Here
is the basic process that is used by the Face it
system to capture and compare images :
1.Detection
2.Alignment
3. Normalization
5. Matching
4.Representation
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12. Advantage
a. There are many benefits to face recognition systems such
as its convinence and Social acceptability.
b. Face recognition is easy to use and in many cases it can be
performed without a person even knowing.
c. Face recognition is also one of the most inexpensive
biometric in the market
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13. Disadvantage
Face recognition systems can not tell the
difference between identical twins.
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14. Application
The natural use of face recognition
technology is the replacement of PIN,
physical tokens or identification
schemes.
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15. Application
There are numerous applications for face recognition
technology:
1.Government Use,
• Law Enforcement
• Security/Counterterrorism.
• Immigration
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16. Application
2.Commercial Use,
a. Day Care:
b. Residential Security
c. Voter verification
d. Banking using ATM
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17. Conclusion
Face recognition technologies have been associated
generally with very costly top secure applications. 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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18. Thanks To All
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