Signature verification using contextual information enhancement and dynamic programming

This paper presents the results of experiments on online signature verification. Information gathered during the signing process like pen trajectory, pressure, elevation and altitude is utilized to prove the authenticity of a signature or to detect a forgery attempt. Signature verification task is carried out by means of the Template Matching approach. The presented method is based on the signature description in terms of its local features and their relations. The comparison of features in the reference and tested signatures is conducted using Dynamic Time Warping technique.