By Topic

Secure biometric template protection via randomized dynamic quantization transformation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Teoh, A. ; BERC, Yonsei Univ., Seoul ; Thian Song Ong

Fuzzy Commitment Scheme is one of the biometric encryption approaches for biometric template protection. The idea is to bind an identifier with a biometric template in binary format called difference vector during enrollment. Ideally, a difference vector is infeasible to recover either the biometric template or the identifier without any knowledge of the user's biometric data. Yet, this is only valid if the biometric template is uniformly random, but this is not the case in reality. In this paper, we propose a method known as randomized dynamic quantization transformation (RDQT) to binarize biometric data but still highly distinctive among the users and highly random. We demonstrate the implementation in the context of fingerprint biometrics. The experiment results and the security analysis in DB1 (FVC 2002) dataset suggest that the technique is feasible in practical usage.

Published in:

Biometrics and Security Technologies, 2008. ISBAST 2008. International Symposium on

Date of Conference:

23-24 April 2008