Biometric cryptosystem based on discretized fingerprint texture descriptors

Yadigar Imamverdiyev, Andrew Beng Jin Teoh, Jaihie Kim

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1888-1901
Number of pages14
JournalExpert Systems with Applications
Issue number5
Publication statusPublished - 2013 Apr

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) .

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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