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《Journal of Northeast Normal University(Natural Science Edition)》 2009-02
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Research on expression-based fast wavelet transform-projection-BP neural network approaches

LU Ying-hua,CUI Jing-xia(College of Computer Science,Northeast Normal University,Changchun 130117,China)  
This paper presents a method for facial expression recognition based fast wavelet transform-Projection-BP neural network(FWT-Project-BPNN) approaches.Firstly,the fast wavelet transform was carried out to compress the preprocessed images' data on the basis of not losing essential image information.Then after-FWT the horizontal high frequency sub-image was projected to a horizontal vector and the vertical high frequency sub image to a vertical vector respectively.The feature vectors were got by connecting the expression images' horizontal projection with transposed vertical projection.Finally,BP neural network(BPNN) is used to make a classification.Experimental results indicate that the proposed method can be simple,high ration of recognition,but it still need to be improved on the capability of extensiveness.
【Fund】: 吉林省科技发展计划项目(20070322)
【CateGory Index】: TP391.41
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