Authors: Zhong Zhang Peidong Zhuang Yong Liu Qun Ding Hong’an Ye
Publish Date: 2010/07/21
Volume: 27, Issue: 2, Pages: 206-211
Abstract
In this paper a novel face recognition method named as waveletcurveletfractal technique is proposed Based on the similarities embedded in the images we propose to utilize the waveletcurveletfractal 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
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