Face recognition based on PCA and SVM optimized by MEB

Gao Wei, Zhao Hai, Mei Zhan, Zhang Lizhong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010
Pages68-71
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010 - Shenyang, China
Duration: 1 Nov 20103 Nov 2010

Publication series

NameProceedings - 3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010

Conference

Conference3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010
Country/TerritoryChina
CityShenyang
Period1/11/103/11/10

Keywords

  • Face recognition
  • MEB
  • PCA
  • SVM

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