Secure Minutiae-Based Fingerprint Templates Using Random Triangle Hashing

Authors:
Zhe Jin;Andrew Beng Jin Teoh;Thian Song Ong;Connie Tee
Affiliations:
Faculty of Information Science & Technology, Multimedia University, Malacca, Malaysia 75450;School of Electrical and Electronic Engineering, Yonsei University, College of Engineering, Seoul, Korea 120-749;Faculty of Information Science & Technology, Multimedia University, Malacca, Malaysia 75450;Faculty of Information Science & Technology, Multimedia University, Malacca, Malaysia 75450
Venue:
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Year:
2009

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Abstract

Due to privacy concern on the widespread use of biometric authentication systems, biometric template protection has gained great attention in the biometric research recently. It is a challenging task to design a biometric template protection scheme which is anonymous, revocable and noninvertible while maintaining acceptable performance. Many methods have been proposed to resolve this problem, and cancelable biometrics is one of them. In this paper, we propose a scheme coined as Random Triangle Hashing which follows the concept of cancelable biometrics in the fingerprint domain. In this method, re-alignment of fingerprints is not required as all the minutiae are translated into a pre-defined 2 dimensional space based on a reference minutia. After that, the proposed Random Triangle hashing method is used to enforce the one-way property (non-invertibility) of the biometric template. The proposed method is resistant to minor translation error and rotation distortion. Finally, the hash vectors are converted into bit-strings to be stored in the database. The proposed method is evaluated using the public database FVC2004 DB1. An EER of less than 1% is achieved by using the proposed method.