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A Seminar Report

OnFace Recognition Technology

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Biometrics

A biometrics is a unique, measurablecharacteristic of a human being that can be

used to automatically recognize an individual

or verify an individual identity.

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Physiological Biometrics include:

a.Finger-scan

b.Facial Recognition

c.Iris-scan

d. Retina-scane. Hand-scan

f. Voice-scan

g. Signature-scan

h. Keystroke-scan

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Face RecognitionFacial recognition is a form of computer vision that

uses faces to attempt to identify a person or verify a

persons claimed identity.For face recognition thereare two types of comparisons,

The first is verification &

The second is identification.

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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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Implementation of facerecognition 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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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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Input processing

A pre-processing module locates the eye

position and takes care of the surroundinglighting 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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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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The Software

Facial recognition software falls into a larger

group of technologies known as biometrics.

Here is the basic process that is used by theFaceit system to capture and compare

images :

1.Detection

2.Alignment3. Normalization

5. Matching

4.Representation

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Advantagea. 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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Application

The natural use of face recognition

technology is the replacement ofPIN, physical tokens or identification

schemes.

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Application

There are numerous applications for face

recognition technology:

1.Government Use, Law Enforcement

Security/Counterterrorism.

Immigration

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Application

2 .Commercial Use,

a. Day Care:

b. Residential Securityc. Voter verification

d. Banking using ATM

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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 towidespread deployment.

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Thanks To All

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