A face recognition system on distributed evolutionary computing using on-line GA

Young, Nam Mi and Bashar, Md. Rezaul and Rhee, Phill Kyu (2006) A face recognition system on distributed evolutionary computing using on-line GA. In: Intelligent Control and Automation: International Conference on Intelligent Computing ( ICIC 2006) Kunming, China, August, 2006, August, 2006, Kunming,China.

Abstract

Although there is much research on face recognition, there now exists some limitations especially in illumination and pose. This paper addresses a novel framework to prevail over the illumination barrier and a robust vision system. The key ideas of this paper are distributed evolutionary computing and on-line GA that is the combining concept of context-awareness and genetic algorithm. This research implements Fuzzy ART that carries out the context-awareness, modeling, and identification for the context environment and the system can also distinguish changing environments. On-line GA stores the experiences to make context knowledge that is used for on-line adaptation. Finally, supervised learning is applied to carry on recognition experiments. Experimental results on FERET data set show that On-line GA based face recognition performance is significantly benefited over the application of existing GA classification


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: ICIC 2006, LNCIS
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 24 May 2010 05:30
Last Modified: 27 Sep 2013 03:43
Uncontrolled Keywords: face recognition; genetic algorithms; image enhancement; image processing; robustness (control systems); context-aware filter fusion; context-awareness; filter fusion representation
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.1007/978-3-540-37258-5_2
URI: http://eprints.usq.edu.au/id/eprint/8149

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