Biometric cryptosystem based on discretized fingerprint texture descriptors

  • Authors:
  • Yadigar Imamverdiyev;Andrew Beng Jin Teoh;Jaihie Kim

  • Affiliations:
  • Biometric Engineering Research Center, School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea and Institute of Information Technology of ANAS, Baku, A ...;Biometric Engineering Research Center, School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea;Biometric Engineering Research Center, School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

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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.