Fuzzy fusion for face recognition

Authors:
Xuerong Chen;Zhongliang Jing;Gang Xiao
Affiliations:
Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China;Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China;Institute of Aerospace Information and Control, School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

Citing 3
Cited 1

History, Current Status, and Future of Infrared Identification

CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
Comparison of visible and infra-red imagery for face recognition

FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Face recognition: A literature survey

ACM Computing Surveys (CSUR)

Decision fusion based on voting scheme for IR and visible face recognition

Machine Graphics & Vision International Journal

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Abstract

Face recognition based only on the visual spectrum is not accurate or robust enough to be used in uncontrolled environments. This paper describes a fusion of visible and infrared (IR) imagery for face recognition. In this paper, a scheme based on membership function and fuzzy integral is proposed to fuse information from the two modalities. Recognition rate is used to evaluate the fusion scheme. Experimental results show the scheme improves recognition performance substantially.