Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Cancelable Biometric Filters for Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Generating Cancelable Fingerprint Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cracking Cancelable Fingerprint Template of Ratha
ISCSCT '08 Proceedings of the 2008 International Symposium on Computer Science and Computational Technology - Volume 02
Fingerprint-Based Fuzzy Vault: Implementation and Performance
IEEE Transactions on Information Forensics and Security
Alignment-Free Cancelable Fingerprint Templates Based on Local Minutiae Information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
| Hi-index | 0.00 |
Biometric authentication has attracted attention because of its high security and convenience. However, biometric feature such as fingerprint can not be revoked like passwords. Thus once the biometric data of a user stored in the system has been compromised, it can not be used for authentication securely for his/her whole life long. To address this issue, an authentication scheme called cancelable biometrics has been studied. However, there remains a major challenge to achieve both strong security and practical accuracy. In this paper, we propose new methods for generating cancelable fingerprint templates with provable security based on the wellknown chip matching algorithm for fingerprint verification and correlation-invariant random filtering for transforming templates. Experimental evaluation shows that our methods can be applied to fingerprint authentication without much loss in accuracy compared with the conventional chip matching algorithm.