DocumentCode
2200411
Title
Face Recognition Based on PCA and SVM Optimized by MEB
Author
Wei, Gao ; Hai, Zhao ; Zhan, Mei ; Lizhong, Zhang
Author_Institution
Inst. of Inf. & Technol., Northeastern Univ., Shenyang, China
fYear
2010
fDate
1-3 Nov. 2010
Firstpage
68
Lastpage
71
Abstract
Face recognition has been widely researched in the classification issues. This paper proposed a new framework of face recognition based on PCA and SVM. In order to reduce the computation of SVM algorithm in the framework, MEB was introduced into the framework. Experimental results have shown that the proposed algorithm can get better results than basic PCA and PCA-SVM algorith.
Keywords
face recognition; image classification; principal component analysis; support vector machines; MEB algorithm; PCA; SVM algorithm; face recognition; principal component analysis; support vector machine; Face Recognition; MEB; PCA; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-8548-2
Electronic_ISBN
978-0-7695-4249-2
Type
conf
DOI
10.1109/ICINIS.2010.40
Filename
5693681
Link To Document