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Face recognition using a DCT-HMM approach

DSpace at IIT Bombay

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Title Face recognition using a DCT-HMM approach
 
Creator KOHIR, VV
DESAI, UB
 
Subject discrete cosine transforms
face recognition
hidden markov models
 
Description A transform domain approach coupled with Hidden Markov Model (HMM) for face recognition is presented. JPEG kind of strategy is employed to transform input subimage for training HMMs. DCT transformed vectors efface images are used to train ergodic HMM and later for recognition. ORL face database of 40 subjects with 10 images per subject is used to evaluate the performance of the proposed method. 5 images per subject are used for training and the rest 5 for recognition. This method has an accuracy of 99.5%. The results, to the best of knowledge of the authors, give the best recognition percentage as compared to any other method reported so far on ORL face database.
 
Publisher IEEE
 
Date 2008-12-09T06:24:49Z
2011-11-27T15:55:31Z
2011-12-15T09:57:26Z
2008-12-09T06:24:49Z
2011-11-27T15:55:31Z
2011-12-15T09:57:26Z
1998
 
Type Article
 
Identifier Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision, Princeton, USA, 19-21 October 1998, 226-231
0-8186-8606-5
10.1109/ACV.1998.732884
http://hdl.handle.net/10054/235
http://dspace.library.iitb.ac.in/xmlui/handle/10054/235
 
Language en