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Indexed by:期刊论文

Date of Publication:2006-01-01

Journal:3rd International Symposium on Neural Networks (ISSN 2006)

Included Journals:SCIE、EI、CPCI-S

Volume:3971

Page Number:1057-1062

ISSN No.:0302-9743

Abstract:This paper presents an SVM classification algorithm with predesigned error correction ability by incorporating the error control coding schemes used in digital communications into the classification algorithm. The algorithm is applied to face recognition problems in the paper. Simulation experiments are conducted for different SVM-based classification algorithms using both PCA and Fisherface features as input vectors respectively to represent the images with dimensional reduction, and performance analysis is made among different approaches. Experiment results show that the error correction SVM classifier of the paper outperforms other commonly used SVM-based classifiers both in recognition rate and error tolerance.