文章基本信息

标题：Face Representation Using Combined Method of Gabor Filters, Wavelet Transformation and DCV and Recognition Using RBF
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作者：Kathirvalavakumar Thangairulappan ; Jebakumari Beulah Vasanthi Jeyasingh
期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2012
卷号：4
期号：4
页码：266-273
DOI：10.4236/jilsa.2012.44027
出版社：Scientific Research Publishing
摘要：An efficient face representation is a vital step for a successful face recognition system. Gabor features are known to be effective for face recognition. The Gabor features extracted by Gabor filters have large dimensionality. The feature of wavelet transformation is feature reduction. Hence, the large dimensional Gabor features are reduced by wavelet transformation. The discriminative common vectors are obtained using the within-class scatter matrix method to get a feature representation of face images with enhanced discrimination and are classified using radial basis function network. The proposed system is validated using three face databases such as ORL, The Japanese Female Facial Expression (JAFFE) and Essex Face database. Experimental results show that the proposed method reduces the number of features, minimizes the computational complexity and yielded the better recognition rates.
关键词：Feature Extraction; Gabor Wavelet; Wavelet Transformation; Discriminative Common Vector; Radial Basis Function Neural Network