文章基本信息

标题：Face Recognition Feature Comparison Based SVD and FFT
本地全文：下载
作者：Lina Zhao ; Wanbao Hu ; Lihong Cui 等
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2012
卷号：3
期号：2
页码：259-262
DOI：10.4236/jsip.2012.32035
出版社：Scientific Research Publishing
摘要：SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database finally.
关键词：Face Recognition; Feature Extraction; SVD; FFT