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.

引用

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页码：1654 / 1656

页数：3

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