Face Recognition Based on Wavelet-Curvelet-Fractal Technique

Authors:
Zhong Zhang;Guanghui Wang;Xiang Lin;Q. M. Wu
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;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:
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Year:
2009

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Abstract

In this paper, a novel face recognition method, named as wavelet-curvelet-fractal technique, is proposed. Based on the similarities embedded in the images, we propose to utilize the wavelet-curvelet-fractal technique to extract facial features. Thus we have the wavelet's details in diagonal, vertical, and horizontal directions, and the eight curvelet details at different angles. Then we adopt the Euclidean minimum distance classifier to recognize different faces. Extensive comparison tests on different data sets are carried out, and higher recognition rate is obtained by the proposed technique.