A hierarchical on-line Chinese signature verification system

Abstract

By synthesizing the static features and dynamic features the authors established a hierarchical on-line Chinese signature verification system. First, global features are applied to get a statistic decision through comparing their weighted distance. Secondly, the input primitive string is matched with its reference primitive string by attributed automaton. Thirdly the similarity in their local shapes is measured through template matching. Compared with previous multi-level signature verification systems the system has advantages not only in feature extraction, but also in the building of reference databases and verification processes.