By Topic

Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features

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
$33 $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

3 Author(s)
M. S. AlTarawneh ; School of Electrical, Electronic and Computer Engineering, University of Newcastle, Newcastle upon Tyne, NE1 7RU, UNITED KINGDOM ; W. L. Woo ; S. S. Dlay

This paper presents feature vector based fuzzy vault method for cryptographic key generation from fingerprint data. The proposed method not only outputs high entropy keys, but also conceals the original biometric data such that it is impossible to recover the biometric data even when the stored information in the system is open to an attacker. Simulated results have demonstrated that constructed fuzzy vault crypto biometric key based on fingerprint vector features addresses a replacement of minutiae fingerprint vault representation, where the vector features are used to form the lock set. The size of the fuzzy vault and the degree of the underlying polynomial are needed for reaching the reliable investigated binded key. This results in a high unlocking complexity for attackers with an acceptable unlocking accuracy for the legal users.

Published in:

Communication Systems, Networks and Digital Signal Processing, 2008. CNSDSP 2008. 6th International Symposium on

Date of Conference:

25-25 July 2008