Human Face Recognition.

Date of Submission

December 2011

Date of Award

Winter 12-12-2012

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Electronics and Communication Sciences Unit (ECSU-Kolkata)


Chanda, Bhabatosh (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

In today’s world identification of a person is very important and necessary mostly in security purpose. Now a days many organisation use different type of identification techniques, one of them is Face Recognition. But in different conditions they may not have the capability to recognise efficiently with respect to both success rate and time complexity of their algorithm. There are different as well as important issues in face recognition like illumination, pose, expression, ageing, occlusion that may make trouble to any recognition system.In this report we have described our own approach of recognizing human face which is very much robust under inconsistently illumination, pose, expression. The idea behind this approach is to fuse different local features, extracted from the face images. For classification, we use Nearest Neighbour and Support Vector Machine. To verify the algorithm we use ORL, Extended Yale B, AR database, MATLAB and LIBSVM tool in windows system.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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