An SVM classification algorithm with error correction ability applied to face recognition

Authors:
Chengbo Wang;Chengan Guo
Affiliations:
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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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.