Three measures for secure palmprint identification

Adams Kong, Dapeng Zhang, Mohamed Kamel

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)


Most previous research in the area of personal authentication using the palmprint as a biometric trait has concentrated on enhancing accuracy yet resistance to attacks is also a centrally important feature of any biometric security system. In this paper, we address three relevant security issues: template re-issuances, also called cancellable biometrics,11In this paper, we use the definition of cancellable biometrics proposed by Ratha and his co-workers, who are the first inventors of cancellable biometrics based on our best knowledge [N.K. Ratha, J.H. Connell, R.M. Bolle, Enhancing security and privacy in biometrics-based authentication systems, IBM Syst. J. 40(3) (2001) 614-634]. replay attacks, and database attacks. We propose to use a random orientation filter bank (ROFB) as a feature extractor to generate noise-like feature codes, called Competitive Codes for templates re-issuances. Secret messages are hidden in templates to prevent replay and database attacks. This technique can be regarded as template watermarking. A series of analyses is provided to evaluate the security levels of the measures.
Original languageEnglish
Pages (from-to)1329-1337
Number of pages9
JournalPattern Recognition
Issue number4
Publication statusPublished - 1 Apr 2008


  • Biometric security
  • Cancellable biometrics
  • Database attacks
  • Replay attacks
  • Template protection

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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