Eigenface-based sparse representation for face recognition

Authors:
Yi-Fu Hou;Wen-Juan Pei;Yan-Wen Chong;Chun-Hou Zheng
Affiliations:
College of Electrical Engineering and Automation, Anhui University, Hefei, China;College of Electrical Engineering and Automation, Anhui University, Hefei, China;State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;College of Electrical Engineering and Automation, Anhui University, Hefei, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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Abstract

Face recognition has been a challenging task in computer vision. In this paper, we propose a new method for face recognition. Firstly, we extract HOG (Histogram of Orientated Gradient) features of each class face images in used Face databases. Then, we select the so-called eigenfaces from HOG features corresponding to each class face images and finally use them to build a overcomplete dictionary for ESRC (the Eigenface-based Sparse Representation Classification ). Experiments show that our method receives better results by comparison.