An on-line signature verification system using multi-template matching approaches

Signature verification is a natural and friendly approach in biometrics-based verification. As we know, the system can achieve a better performance if more training samples are collected. However, routinely signing the patterns is a boring and inconvenient process to obtain enough training samples at the initial enrolment. In this paper, we have proposed a multi-template matching approach to identify the individual via few training samples. Some experimental results were conducted to show the effectiveness of our proposed methods.