An Enhanced Algorithm for Thermal Face Recognition

نویسندگان

  • Ning Wang
  • Qiong Li
  • Ahmed A. Abd El-Latif
  • Jialiang Peng
  • Xiamu Niu
چکیده

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.

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تاریخ انتشار 2013