Wavelet energy entropy as a new feature extractor for face recognition

被引：14

作者：

Chen, Cunjian ^{[1
]}

Zhang, Jiashu ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Key Lab Signal & Informat Proc, Chengdu 610031, Peoples R China

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS | 2007年

关键词：

D O I：

10.1109/ICIG.2007.60

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. Preliminaiy 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.

引用

页码：616 / +

页数：2

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