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BGP face recognition method based on heuristic information
Author(s): Liwei Li; Habin Xie
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Paper Abstract

Binary gradient pattern (BGP) is a concise and efficient descriptor for face recognition which is robust to light, expression and occlusion. It has achieved remarkable results in face recognition applications. However, BGP descriptor is a universal operator, which does not reflect the particularity of human face in the process of face recognition. This paper draws on the experience of human face recognition based mainly on facial features(including eyes, nose and mouth), and proposes a method of face recognition based on heuristic information. This method firstly determines the general location of the above facial features according to human experience. Secondly, BGP operator is used to extract the features of the face, and we divide faces into several sub-blocks to obtain the histogram features of each sub-block. Finally, the features corresponding to the positions of the features are weighted. The method is fully validated in Yale and ORL libraries. Compared with the original BGP method, the recognition accuracy and robustness are significantly improved.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061L (9 August 2018); doi: 10.1117/12.2502977
Show Author Affiliations
Liwei Li, National Univ. of Defense Technology (China)
Habin Xie, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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