Local face recognition based on the combination of ICA and NFL

被引：0
|
作者：
Ye, YS [1 ]
Wu, Y [1 ]
Sun, ML [1 ]
Jin, MX [1 ]
机构：
[1] Tongji Univ, Dept Comp Sci & Engn, Shanghai 200092, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a local face recognition algorithm that is based on independent component analysis (ICA) and the nearest feature line (NFL). First, we separate a face image into several facial components. Then, we extract feature through combination of principal component analysis (PCA) and ICA; in the step of recognition, we first get each part of distance by NFL, then we calculate the synthetical distance by combining different parts. Compared with holistic image representation, this method has many advantages, such as a much higher recognition rate, more stable and flexible in practice.
引用
收藏
页码：941 / 946
页数：6
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