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.
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