Wavelet Energy Entropy as a New Feature Extractor for Face Recognition

Authors:
Cunjian Chen;Jiashu Zhang
Affiliations:
Southwest Jiaotong University, China;Southwest Jiaotong University, China
Venue:
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Year:
2007

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Abstract

In face recognition, it is important how to select the invariant facial features especially faces with various pose and expression changes. This paper presents wavelet energy entropy as new facial features to recognize faces under various pose and expression changes. Preliminary experiment results on ORL, YALE face databases with different pose and expression changes indicate that the proposed wavelet energy entropy feature face recognition method is fast and effective compared to other tradition algorithms.