On-line signature verification system with failure to enrol management

In this paper we introduce a new biometric verification system based on on-line signatures and simulate its operation. For this purpose we have split the MCYT signature database in three subsets: one for classifier training, another for system adjustment and a third one for system testing simulating enrolment and verification. This context corresponds to a real operation, where a new user tries to enrol an existing system and must be automatically guided by the system in order to detect the failure to enrol (FTE) situations. The main contribution of this work is the management of FTE situations by means of a new proposal, called intelligent enrolment, which consists of consistency checking in order to automatically reject low quality samples. This strategy enhances the performance of the system to 22% when 8% of the users are left out. In this situation 8% of the people cannot be enroled in the system and must be verified by other biometrics or by human abilities. These people are identified with intelligent enrolment and the situation can be thus managed. In addition we also propose a DCT-based feature extractor with threshold coding and discriminability criteria.