Paper Info
Title
A two-dimensional random projected minutiae vicinity decomposition-based cancellable fingerprint template
Abstract
AbstractWith the massive deployment of biometric applications, protecting the biometric template has attracted great attention because of the privacy issue. Although many proposals on protecting biometric template have been reported in literature, design a method simultaneously satisfying four criteria, that is performance, non-invertibility, cancellability, and diversity still remains unsolved. In this paper, we proposed a two-dimensional random projected minutiae vicinity decomposition MVD technique to secure minutiae-based fingerprint template. Minutiae vicinity is first formed from a set of fingerprint minutiae and further used to generate a set of local features, namely MVD features; then, a random matrix derived from user-specific token is used to project MVD features for the concealment of the topology of MVD. Comprehensive experiments on fingerprint verification competition datasets are carried out, and the lowest equal error rate obtained in the stolen-token scenario is 3.07% and 1.02% for fingerprint verification competition 2002 database 1 and database 2, respectively. Besides, detail analyses on the irreversibility, cancellability, template size, and computational cost have been carried out. Copyright © 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/sec.865
Periodicals
Keywords
Field
DocType
fingerprint template protection,two-dimensional random projection,minutiae vicinity decomposition
Data mining,Fingerprint Verification Competition,Computer security,Computer science,Fingerprint recognition,Minutiae,Word error rate,Fingerprint,Biometrics,Security token,Random matrix
Journal
Volume
Issue
ISSN
7
11
1939-0114
Citations 
PageRank 
References 
8
0.50
20
Authors
4
Name
Order
Citations
PageRank
Zhe Jin111812.39
Bok-Min Goi249862.02
Andrew Beng Jin Teoh31778125.80
Yong Haur Tay422520.14