Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Proposed GMFB Recognition approach for Thermal face Image
  2.1. Thermal Face Image Preprocessing
  2.2. Extracting GJD Features and Dimension Reduction for every Scale
  2.3 Matching based on Borda Count
 3. Experimental Results and Analysis
  3.1. The NVIE Thermal Database
  3.2. Recognition Performance
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Ning Wang [ Harbin Institute of Technology ]
• Qiong Li [ Harbin Institute of Technology ] Corresponding author
• Ahmed A. Abd El-Latif [ Harbin Institute of Technology, Menoufia University ]
• Jialiang Peng [ Harbin Institute of Technology, Heilongjiang University ]
• Xiamu Niu [ Harbin Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605