An Extended PCA and LDA for color face recognition

被引：0

作者：

Kang, Qiong ^{[1
]}

Peng, Lingling ^{[2
]}

机构：

[1] Yangtze Univ, Sch Comp Sci, Jinzhou, Hubei Province, Peoples R China

[2] Yangtze Univ, Audiovisual Educ Ctr, Jingzhou, Hunan, Peoples R China

来源：

THIRD INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND INTELLIGENT CONTROL (ISIC 2012) | 2012年

关键词：

component; face recognition; normalization; channel; fusion; IMAGE; POSE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a new method for color face recognition. We extract the first, second and third channels of each color image and use PCA and LDA to get a score of each channel, then we use a combine scheme to attain a final score and use this final score to classify test samples. In order to check the performance of our method, we conduct experiments on Georgia Tech (GT) color face database, at the same time, we compare our method with PCA and LDA, and experiment results show that our methods take better performance.

引用

页码：345 / 348

页数：4

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