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
Publisher: Springer
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 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, 14-16 September 2005
URI: http://hdl.handle.net/10397/12571
ISBN: 3540288961
9783540288961
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
1
Last month
Citations as of Feb 26, 2017

WEB OF SCIENCETM
Citations

16
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

88
Last Week
4
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.