Secure minutiae-based fingerprint templates using random triangle hashing


Jin, Zhe and Teoh, Andrew Beng Jin and Ong, Thian Song and Tee, Connie (2009) Secure minutiae-based fingerprint templates using random triangle hashing. In: Visual Informatics: Bridging Research and Practice. Lecture Notes in Computer Science (5857). Springer Berlin Heidelberg, pp. 521-531. ISBN 978-3-642-05035-0

[img] Text
Restricted to Repository staff only

Download (353kB)


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.

Item Type: Book Section
Additional Information: Book Subtitle: First International Visual Informatics Conference, IVIC 2009 Kuala Lumpur, Malaysia, November 11-13, 2009 Proceedings
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 22 Jan 2014 04:32
Last Modified: 22 Jan 2014 04:32


Downloads per month over past year

View ItemEdit (login required)