MMP-PCA face recognition method

被引：18
|
作者：
Su, GD [1 ]
Zhang, CP [1 ]
Ding, RR [1 ]
Du, C [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
ELECTRONICS LETTERS | 2002年 / 38卷 / 25期
关键词：
D O I：
10.1049/el:20021033
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A multimodal part face recognition method based on principal component analysis (MMP-PCA) is presented. Five kinds of parts are dealt with by PCA to obtain eigenface, eigeneyebrow, eigeneye, eigennose and eigenmouth. Thirty-one kinds of different face recognition models are created by using combinations of different parts. The recognition rates of 17 models among them are given.
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页码：1654 / 1656
页数：3
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