Dario Maio, Davide Maltoni, Raffaele Cappelli, Jim L.'s Biometric Authentication: First International Conference, PDF

By Dario Maio, Davide Maltoni, Raffaele Cappelli, Jim L. Wayman, Anil K. Jain (auth.), David Zhang, Anil K. Jain (eds.)

ISBN-10: 3540221468

ISBN-13: 9783540221463

This publication constitutes the refereed complaints of the 1st foreign convention on Biometric Authentication, ICBA 2004, held in Hong Kong, China in July 2004.

The 104 revised complete papers awarded have been conscientiously reviewed and chosen from 157 submissions; additionally incorporated are summaries of three biometric competitions on fingerprint verification, face authentication, and signature verification. The papers are prepared in topical sections on face, fingerprint, iris, signature, speech, biometric fusion and threat research, and different biometric issues.

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Extra info for Biometric Authentication: First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004. Proceedings

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Automatic on-line signature verification. Proceedings of the IEEE, 85(2):215–239, 1997. [2] A. Jain, R. Bolle, and S. Pankanti. Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers, Boston, MA, USA, 1999. K. D. D. Connell. On-line signature verification. Pattern Recognition, 35(12):2963–2972, 2002. [4] R. Plamondon and G. Lorette. Automatic signature verification and writer identification – the state of the art. Pattern Recognition, 22(2):107–131, 1989. [5] F. Leclerc and R.

The normalized face images are processed to yield 400 PCA coefficients and 200 Fisherfaces using FLD (Fisher Linear Discriminant) on the reduced 200 dimensional PCA space. Watch List Face Surveillance Using Transductive Inference 27 TCM-kNN yields similar performance with kNN on the closed set face recognition problem except that its output includes confidence and credibility for each decision made. The best similarity distances for PCA and Fisherfaces representations were found to be {Mahalanobis + or cosine)} and {cosine, Dice, Jaccard, (Mahalonobis + cos)}, respectively.

Mathematically, the proposed membership authentication method can be formulated as follows. where the total group (G) is divided into subgroups and each subgroup belongs to membership class or nonmembership class. is a subgroup membership classifier working on Hence, the whole membership authentication system F(x) consists of numbers of subgroup membership classifiers, each input face x is first judged to be the member of a certain subgroup, then the class of x is determined by the label of this subgroup.

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Biometric Authentication: First International Conference, ICBA 2004, Hong Kong, China, July 15-17, 2004. Proceedings by Dario Maio, Davide Maltoni, Raffaele Cappelli, Jim L. Wayman, Anil K. Jain (auth.), David Zhang, Anil K. Jain (eds.)


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