Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12571
Title: An analysis on accuracy of cancelable biometrics based on BioHashing
Authors: Cheung, KH
Kong, A
Zhang, D 
Kamel, M
You, J 
Lam, HW
Issue Date: 2005
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3683 LNAI, p. 1168-1172
Abstract: Cancelable biometrics has been proposed for canceling and re-issuing biometric templates and for protecting privacy in biometrics systems. Recently, new cancelable biometric approaches are proposed based on BioHashing, which are random transformed feature-based cancelable biometrics. In this paper, we consider the accuracy of one of the cancelable biometrics based on BioHashing and face. Through this analysis, as an illustration, we would like to raise an issue to be considered in cancelable biometrics: accuracy may be traded for biometrics being cancelable.
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 3540288961
9783540288961
ISSN: 0302-9743
EISSN: 1611-3349
Description: 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, 14-16 September 2005
Appears in Collections:Conference Paper

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