A Study on Template Protection for Writer Recognition Systems

Abstract

Biometrics authentication has the threat of impersonation where an attacker reconstructs a user's biometric information from his user template stored in a biometric system by using the vulnerability called 'estimation' . Unlike Keys or passwords that are used in traditional token or knowledge-based authentication methods, biometric information is difficult to be canceled and reenrolled. Therefore, it is indispensable to establish template protection methods which prevent an attacker from reconstructing some biometric information from user templates. Moreover, it should be possible to revocate the user templates when their leakage occurs. In this paper, we propose a watermark-based template protection method by focusing on writer recognition systems.