An Efficient Wavelet Based Feature Extraction Method for Face Recognition

Authors:
Iman Makaremi;Majid Ahmadi
Affiliations:
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada N9B 3P4;Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada N9B 3P4
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

A computationally efficient wavelet based feature extraction method is proposed. This method is used for face recognition along with an HMM classifier. In comparison to similar method, this method needs less computation while the highest possible classification rate is still achievable. In this paper, different wavelet filters have been tried and effect of sub-image's size and overlap percentage in feature extraction on classification rate has been studied.