An integration method of multi-modal biometrics using supervised pareto learning self organizing maps

This paper proposes a method for the integration of multi-modal biometrics. As the conventional authentication method, password system is mostly used. But, password mechanism has many issues. In order to solve the problems, biometric authentication methods are often used. But, the authentication method using biological characteristics, such as fingerprint, also has some problems. In this paper, we propose a authentication method using multi-modal behavior biometrics sampled from keystroke timings and handwritten patterns. And supervised Pareto learning self organizing maps which integrate the multi-modal vectors is proposed. The performance of this method is confirmed by the authentication experiments.