Face recognition technique based on modular ICA approach

Authors:
Cao Wen-ming;Lu Fei;Yuan Yuan;Wang Shuojue
Affiliations:
Institute of Intelligent College of Information Engineering, Zhejiang University of Technology, Hangzhou, China;Institute of Intelligent College of Information Engineering, Zhejiang University of Technology, Hangzhou, China;Institute of Intelligent College of Information Engineering, Zhejiang University of Technology, Hangzhou, China;Institute of Semiconductors, Chinese Academy of Science, Beijing, China
Venue:
Intelligent information processing II
Year:
2004

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Abstract

In this paper, a face recognition algorithm based on modular ICA approach is presented. Compared whit conventional ICA algorithm, the proposed algorithm has an improved recognition rate for face images with large variations in lighting direction and facial expression. In the proposed technique, the face images are divided into smaller sub-images and the ICA approach is applied to each of these sub-images. Since some of the local facial features of an individual do not vary even when the pose, lighting direction and facial expression vary, we expect the proposed method to be able to cope with these variations. The accuracy of the conventional ICA method and modular ICA method are evaluated under the conditions of varying expression, illumination and pose using Yale face database[1].