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Issue No.01 - January-March (2003 vol.2)
pp: 38-45
Yongsheng Gao , Griffith University
S.C. Hui , Nanyang Technological University
A.C.M. Fong , Massey University
<p>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.</p>
biometrics, authentication, Hausdorff distance, feature matching
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, January-March 2003, doi:10.1109/MPRV.2003.1186724
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