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A MultiView Facial Analysis Technique for Identity Authentication
January-March 2003 (vol. 2 no. 1)
pp. 38-45
Yongsheng Gao, Griffith University
S.C. Hui, Nanyang Technological University
A.C.M. Fong, Massey University

Biometric systems, which use people?s physiological characteristics for identification or authentication, have become increasingly popular for countering fraud and other misdeeds. Identification is about finding the best match between a person and a group of possible candidates (for example, finding a suspect in a criminal investigation). Authentication determines if people are who they claim to be. Identification results in a list of possible matches (with an indication of the degree of match); authentication returns a binary decision. In this article, the authors describe a face recognition system that uses a new distance measure for authentication. The system performs matching on a fusion of multiple views of each person. Although the authors focus on optimizing the performance of single-modal operation, their proposal is generic enough for combining other modes of operation (for example, speech analysis). The system?s results have been very encouraging.

Index Terms:
biometrics, authentication, Hausdorff distance, feature matching
Citation:
Yongsheng Gao, S.C. Hui, A.C.M. Fong, "A MultiView Facial Analysis Technique for Identity Authentication," IEEE Pervasive Computing, vol. 2, no. 1, pp. 38-45, Jan.-March 2003, doi:10.1109/MPRV.2003.1186724
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