A Model-Based Signature Verification System

In this work a hybrid handwritten signature verification system architecture is built where the segmentation of the signature is done inspired by a vectorial delta-lognormal kinematic handwritten reproduction model. The acquisition module processes dynamic data sampled from a digitizer tablet creating a prototype signature that is saved in a database with the correspondent feature´s thresholds. The verification is done over the image of the test signature without the presence of the author. Details about the segmentation methodology are presented along with the system´s architecture and performance results.