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A hybrid biometric cryptosystem for securing fingerprint minutiae templates

Authors
Nagar, AbhishekNandakumar, KarthikJain, Anil K.
Issue Date
1-6월-2010
Publisher
ELSEVIER
Keywords
Biometrics; Template security; Fuzzy vault; Minutiae descriptors
Citation
PATTERN RECOGNITION LETTERS, v.31, no.8, pp.733 - 741
Indexed
SCIE
SCOPUS
Journal Title
PATTERN RECOGNITION LETTERS
Volume
31
Number
8
Start Page
733
End Page
741
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116271
DOI
10.1016/j.patrec.2009.07.003
ISSN
0167-8655
Abstract
Security concerns regarding the stored biometric data is impeding the widespread public acceptance of biometric technology. Though a number of bio-crypto algorithms have been proposed, they have limited practical applicability due to the trade-off between recognition performance and security of the template. In this paper, we improve the recognition performance as well as the security of a fingerprint based biometric cryptosystem, called fingerprint fuzzy vault. We incorporate minutiae descriptors, which capture ridge orientation and frequency information in a minutia's neighborhood, in the vault construction using the fuzzy commitment approach. Experimental results show that with the use of minutiae descriptors, the fingerprint matching performance improves from an FAR of 0.7% to 0.01% at a GAR of 95% with some improvement in security as well. An analysis of security while considering two different attack scenarios is also presented. A preliminary version of this paper appeared in the International Conference on Pattern Recognition, 2008 and was selected as the Best Scientific Paper in the biometrics track. (C) 2009 Elsevier B.V. All rights reserved.
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