FACIAL RECOGNITION SYSTEM USING EIGEN FACES

Presented By: M.Divya Sushma

(08PA1A0433)

Digital image processing is a rapidly evolving field with growing

applications in science and engineering . Image processing holds

the probability of developing the ultimate machine that could

perform the visual function of all living beings.

Here an approach is made to detect and identify a human

face and describe the algorithm for software implementation of

face recognition system using eigenface. In eigenface method,

training set is prepared first and then the person is recognized by

comparing characteristics of the face to those of known individuals.

ABSTRACT

Face is our primary focous of interaction with society, face

communicates identify, Emotion, race and age. It is also quite

useful for judging gender, size and perhaps even character Of

the person.

INTRODUCTION:

The major approaches used for face recognition are

1.Featured based approach

2.Eiganface based approach

APPROACHES FOR FACE RECOGNITION:

1.Feature based approach:

First order features values

Second order features values

2. Eigen Face Based Approach:

BLOCK DIAGRAM OF FACE RECOGNITION SYSTEM

HISTORY:

HOW EIGEN FACES WILL GENERATED:

FACE RECOGNITION USING EIGENFACES

EIGENFACE-BASED FACIAL RECOGNITION ALGORITHM

Calculation of eigenfaces with PCAIn this section, the original scheme for determination of the eigenfaces using PCA will be presented. The algorithm described in scope of this paper is a variation of the one outlined here.

Face Recognition Using Eigenfaces

MERITS:

Complete face information is taken into account for

recognition.

Relative insensitivity to small or gradual change in

the face image.

Better in speed , simplicity and learning capability

MERITS AND DEMERITS

DEMERITS:

If lighting effects and the position of the face with respect to

the camera is varied Greately then accuracy will effect.

Only gray scale images can be detected

A noisy image or partially occluded face causes recognition

performance to degrade gracefully.

Face recognition system has following application:

Given a database of standard face images (say criminal mug shots),

determine whether or not a new shot of a person is in database.

Authorize users to allow login access.

Prepare a surveillance camera system residing at some public place which

automatically matches the input faces with criminal database and gives

alert if the results are matched.

Match the person with his passport image, licence image etc.

APPLICATION

SOME IMAGES OF FACE RECOGNITION

EIGEN FACES 

EIGENFACES RECONSTRUCTION

Face Recognition has been successfully implemented

using eigenface approach. Eigenface approach of face

recognition has been found to be a robust technique

that can be used in security systems

CONCLUSION

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URL http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf. (URL accessed on

November 27, 2002).

   M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3 (1), 1991a.

URL http://www.cs.ucsb.edu/ mturk/Papers/jcn.pdf. (URL accessed on November 27, 2002).

   M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In Proc. of Computer Vision and

Pattern Recognition, pages 586-591. IEEE, June 1991b.

URLhttp://www.cs.wisc.edu/ dyer/cs540/handouts/mturk-CVPR91.pdf. (URL accessed on November 27,

2002).

REFERENCES:  

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