Dual eigenspace method for human face recognition

被引：7

作者：

Peng, H

Zhang, D

机构：

[1] Department of Computer Science, City University of Hong Kong, Kowloon

来源：

ELECTRONICS LETTERS | 1997年 / 33卷 / 04期

关键词：

image recognition; object recognition;

D O I：

10.1049/el:19970203

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：

The authors present an effective scheme called the dual eigenspace method (DEM) for automated face recognition. Based on the K-L transform, the dual eigenspaces are constructed by extracting algebraic features of training samples and applied to face identification with a two-layer minimium distance classifier. Experimental results show that DEM is significantly better than the traditional eigenface method (TEM).

引用

页码：283 / 284

页数：2