Personal authentication in video surveillance systems using an on-line signature verification approach

In this paper, a novel on-line signature verification approach is proposed for personal authentication in video surveillance systems. As we know, digit password-based authentication is the most popular manner in many network-based applications. However, if the passwords were leaked, the monitoring data are easily falsified. Biometric-based authentication using signature features is a natural and friendly approach to remedy this problem. In this study, a signature-based authentication is proposed to identify the individuals by using the template matching strategy. Some experimental results were conducted to show the effectiveness of our proposed methods.