Visual-Based Online Signature Verification by Pen Tip Tracking

We propose a visual-based online signature verification system in which the signer´s pen tip is tracked. The input module of the system consists of only low-cost cameras (webcams) and does not need special equipment such as an electronic tablet. Online signature data is obtained from the images captured by the webcams by tracking the pen tip. The pen tip tracking is implemented by the sequential Monte Carlo method in real time. Then, the distance between the input signature data and reference signature data enrolled in advance is computed. Finally, the input signature is classified as genuine or a forgery by comparing the distance with a threshold. In this paper, we consider two camera positions. We performed an experiment using private data consisting of 250 signatures from 10 subjects. The experimental results show that the proposed system is promising for signature verification.