Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series

In this paper we compare two captured databases which contain local acceleration and angle information recorded during the signing process. Approximately a year passed between the capturing of the two databases and they contain several signatures from the same writers. We analyze the expedience of the proposed devices and examine the overlap of the databases using Legendre approximation for feature computation and Support Vector Machine for classification. In addition we plan to make the concerned databases publicly available for research purposes.