期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：3
出版社：SERSC
摘要：In this paper, an enhanced thermal face recognition method, namely GMFB, is proposed. Initially, Gabor Jet Descriptor (GJD) is extracted from each thermal image with five scales and eight orientations. Then, the Modified Fisher (MF) criterion is implemented on the feature vector for every scale. Finally, the Borda count (BC) matching method is used to get higher matching score. Our proposed method enhances the discrimination ability of the feature vector significantly. Experiments conducted on NVIE thermal face database show that the proposed approach outperforms the state-of-the-art methods.
关键词：Thermal face recognition; Gabor Jet Descriptor; Modified Fisher; Borda;Count
