Face recognition based on binary template matching

Authors:
Jiatao Song;Beijing Chen;Zheru Chi;Xuena Qiu;Wei Wang
Affiliations:
College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P.R. China;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P.R. China;Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P.R. China;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P.R. China
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

In this paper, a novel face recognition method based on binary face edges is presented to deal with the illumination problem. The Binary Face Edge Map (BFEM) is extracted using the Locally Adaptive Threshold (LAT) algorithm. Based on BEFM, a new image similarity metric is proposed. Experimental results show that face recognition rates of 76.32% and 82.67% are achieved respectively on 798 AR images and 150 Yale images with changed lighting conditions and facial expression variations when one sample per subject is used as the target image. The proposed method takes less time for image matching and outperforms some existing face recognition approaches, especially in changed lighting conditions.