Face Recognition Based on Wavelet-Curvelet-Fractal Technique

被引：0

作者：

Zhang, Zhong ^{[1
]}

Wang, Guanghui ^{[1
]}

Lin, Xiang ^{[1
]}

Wu, Q. M. Jonathan ^{[1
]}

机构：

[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada

来源：

IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS | 2009年 / 5627卷

关键词：

Face recognition; wavelet decomposition; curvelet transform; fractal; facial feature extraction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：532 / 540

页数：9

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