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 :
بازگشت