Biometric mobile template protection: a composite feature based fingerprint fuzzy vault

  • Authors:
  • Kai Xi;Jiankun Hu

  • Affiliations:
  • School of Computer Science and IT, RMIT University, Melbourne, Australia;School of Computer Science and IT, RMIT University, Melbourne, Australia

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

Biometric authentication is emerging as the promising solution to conventional cryptography based authentication technologies. However, protecting users' biometric templates stored in a mobile device in a secure way is a challenge issue and has attracted many attentions. As one of the possible solutions, the Fuzzy Vault construct binds a secret key and biometric information to provide template protection. Most existing Fingerprint Fuzzy Vault algorithms use pre-aligned fingerprint impressions and rely strongly on image registration, a process that is well known to be nontrivial and unreliable. Moreover, it is inherently insecure to store raw fingerprint images for the alignment. In this paper, we propose a Fingerprint Fuzzy Vault based on composite features which are reliable, distortion tolerant and registration-free. Experimental results on public database show that our scheme can improve verification performance significantly.