PSO based memetic algorithm for face recognition Gabor filters selection

Jiarui Zhou, Zhen Ji, Linlin Shen, Zexuan Zhu, Siping Chen

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

10 Citations (Scopus)

Abstract

A Gabor filters based face recognition algorithm named POMA-Gabor is proposed in this paper. The algorithm uses particular Gabor wavelets in the feature extraction on specific areas of the face image and a particle swarm optimization (PSO) based memetic algorithm (POMA), which combines comprehensive learning particle swarm optimizer (CLPSO) global search and self-adaptive intelligent single particle optimizer (AdpISPO) local search, is introduced to select the Gabor filter parameters. The experimental results demonstrate that POMA obtains better performance than other comparative PSO algorithms. Employing POMA for Gabor filter design, POMA-Gabor is capable of obtaining more representative information and higher recognition rate with less computational time.

Original languageEnglish
Title of host publicationIEEE SSCI 2011 - Symposium Series on Computational Intelligence - MC 2011
Subtitle of host publication2011 IEEE Workshop on Memetic Computing
Pages9-14
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Workshop on Memetic Computing, MC 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Publication series

NameIEEE SSCI 2011 - Symposium Series on Computational Intelligence - MC 2011: 2011 IEEE Workshop on Memetic Computing

Conference

ConferenceSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Workshop on Memetic Computing, MC 2011
Country/TerritoryFrance
CityParis
Period11/04/1115/04/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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