This document summarizes a seminar report on face recognition technology. It discusses how biometrics can be used to recognize individuals, with physiological biometrics including facial recognition. Face recognition uses computer vision to identify or verify a person's identity from their face. The document then outlines the four stages all identification technologies use - capture, extraction, comparison, and match or non-match. It provides details on how face recognition systems work, the software used, advantages like convenience, and applications in government, commercial, and other sectors.

1. A Seminar Report
On
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
Faceit 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. b. Face recognition is easy to use and in many cases
it can be performed without a
Person even knowing.
c. 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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