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Biometric cryptosystem based on discretized fingerprint texture descriptors

Authors
Publisher
Elsevier Ltd
Volume
40
Issue
5
Identifiers
DOI: 10.1016/j.eswa.2012.10.009
Keywords
  • Fuzzy Commitment Scheme
  • Fingerprint Texture Descriptors
  • Local Binary Pattern
  • Biometric Discretization
  • Error-Correcting Code

Abstract

Abstract This paper focuses on a biometric cryptosystem implementation and evaluation based on a number of fingerprint texture descriptors. The texture descriptors, namely, the Gabor filter-based FingerCode, a local binary pattern (LBP), and a local direction pattern (LDP), and their various combinations are considered. These fingerprint texture descriptors are binarized using a biometric discretization method and used in a fuzzy commitment scheme (FCS). We constructed the biometric cryptosystems, which achieve a good performance, by fusing discretized fingerprint texture descriptors and using effective error-correcting codes. We tested the proposed system on a FVC2000 DB2a fingerprint database, and the results demonstrate that the new system significantly improves the performance of the FCS for texture-based fingerprints.

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