首页> 外文会议>Computational Science - ICCS 2007 pt.4; Lecture Notes in Computer Science; 4490 >Evolvable Face Recognition Based on Evolutionary Algorithm and Gabor Wavelet Networks
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Evolvable Face Recognition Based on Evolutionary Algorithm and Gabor Wavelet Networks

机译:基于进化算法和Gabor小波网络的可进化人脸识别

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摘要

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.
机译:Gabor小波网络(GWN)是一种人脸识别方法。事实证明,进化算法可以有效地解决GWN优化问题。结合GWN的Inver-over Evolutionary算法(IOEA)在人脸识别方面表现出色,这是因为它对复杂功能的优化有很大影响,我们提出的称为IOEA-GWN,与结合GWN的简单遗传算法相比,其识别率更高(根据我们的做法在相同的实验条件下称为SGA-GWN)。

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