Title: Research on Face Recognition Method Using Gabor Wavelet and Linear Discriminant Analysis
Abstract: To overcome the negative effect of factors such as illumination and expression on face recognition,a method of Gabor wavelet and Linear Discriminant Analysis(LDA) for face recognition is proposed.This method makes full use of the desirable characteristics of spatial locality and orientation selectivity of Gabor filters.At first,Gabor features are extracted on the original intensity images,then the best classification feature is acquired by utilizing the LDA.Experimental results on ORL and YALE database indicate that this method is robust to large illumination and the sampling vectors numbers,and the best recognition rate can achieves 99%.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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