A Study on Vulnerabilities and Their Countermeasures in a Writer Recognition System

Abstract

Recently, it is pointed out that there exists some vulnerabilities and threats in biometric systems. In this paper, we focus on the vulnerability called ‘estimation’. This vulnerability causes a threat of impersonation by the estimated biometric information obtained through the hill-climbing attack, and another threat of impersonation by reconstructed biometric information obtained through the target user's biometric template stored in a biometric system. In this paper, we discuss the vulnerability of estimation, the threats of using it, and its countermeasure in a writer recognition system.