Title :
An improved WPCA plus LDA
Author :
Xiaoman, Bai ; Qiuqi, Ruan
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
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;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345578
