A novel face recognition method based on linear discriminant analysis

被引：0

作者：

Zhang, YK ^{[1
]}

Liu, CQ ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China

来源：

JOURNAL OF INFRARED AND MILLIMETER WAVES | 2003年 / 22卷 / 05期

关键词：

face recognition; linear discriminant analysis; discrete cosine transform; principal component analysis;

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A novel face recognition approach based on the DCT and the LDA is proposed. First the DCT is used for dimension reduction,then LDA transform is performed on the lower space to extract feature. The ORL face database and the SJ-TU-IPPR face database are used to test our approach and the correct recognition rates of 97.5% and 92.6% are obtained respectively, which shows that our approach is comparable with other approaches.

引用

页码：327 / 330

页数：4

共 7 条

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