Evolvable Face Recognition Based on Evolutionary Algorithm and Gabor Wavelet Networks

Authors:
Chuansheng Wu;Yong Ding;Lishan Kang
Affiliations:
School of Science, Wuhan University of technology, Wuhan, 430070, China;School of Science, Wuhan University of technology, Wuhan, 430070, China;State Key lab of software engineering, Wuhan University, Wuhan, 430072, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

Gabor Wavelet Networks (GWN) is a method for face recognition. Evolutionary Algorithms are proved to be efficient to deal with GWN optimization problems. Inver-over Evolutionary Algorithm (IOEA) mixed with GWN performs well in face recognition because of its considerable effects on complex functions optimizations, which is called IOEA-GWN put forward by us, and shows higher recognition rate than Simple Genetic Algorithm mixed with GWN (called SGA-GWN) in the same experiment conditions according to our practices.