期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2009
卷号：1
期号：2
出版社：International Center for Scientific Research and Studies
摘要：In this paper we propose a method termed as Face-Specific Subspace DCT Sign Only Product (FSS¨CDSOP), for face recognition. The proposed method is based on Face-Specific Subspace (FSS) technique using Discrete Cosine Transform (DCT) sign only product as similarity measure. The proposed approach aims to improve the recognition rate of the FSS technique under small size scenario with illumination variations by making use of DCT sign-only inner product similarity measure for classification. Results obtained from a set of experiments using small training sets sampled from illumination subset of extended Yale-B and PIE face database indicate that the proposed methodology achieves better recognition rate when compared to FSS
关键词：Correlation filters; Discrete cosine transform; Pattern ;classification; Principal component analysis
