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A hybrid biometric cryptosystem for securing fingerprint minutiae templates
- Source :
- Pattern Recognition Letters. 31:733-741
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
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.
- Subjects :
- Minutiae
Biometrics
Computer science
business.industry
Cryptography
Fingerprint recognition
ComputingMethodologies_PATTERNRECOGNITION
Artificial Intelligence
Fingerprint
Signal Processing
Pattern recognition (psychology)
Cryptosystem
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
Subjects
Details
- ISSN :
- 01678655
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition Letters
- Accession number :
- edsair.doi...........db9fc7fc2c4f2d124822f477e7ac487d