Three measures for secure palmprint identification

Authors:
Adams Kong;David Zhang;Mohamed Kamel
Affiliations:
Pattern Analysis and Machine Intelligence Lab, Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Ont., Canada N2L 3G1 and School of Computer En ...;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;Pattern Analysis and Machine Intelligence Lab, Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Ont., Canada N2L 3G1
Venue:
Pattern Recognition
Year:
2008

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Abstract

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, 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.