DocumentCode
1935153
Title
An improved WPCA plus LDA
Author
Xiaoman, Bai ; Qiuqi, Ruan
Author_Institution
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
This paper examines the theory of weighed principal component analysis and linear discriminant analysis. Based on these, the author proposes an improved WPCA plus LDA in face recognition. Experimental results demonstrate that this arithmetic can improve the recognition rate when compared with single-center eclosion function WPCA and PCA
Keywords
face recognition; principal component analysis; face recognition; linear discriminant analysis; recognition rate; weighed principal component analysis; Algorithm design and analysis; Arithmetic; Biometrics; Covariance matrix; Engines; Face recognition; Humans; Linear discriminant analysis; Principal component analysis; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345578
Filename
4129059
Link To Document