|Type of Publication:||Misc||Keywords:||biometrics; Signature; Forgeries|
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In this video, we present a procedure to create brute-force signature forgeries using Sign4J, a dynamic signature imitation training software that was specifically built to help people learn to imitate the dynamics of signatures. The main novelty of the procedure lies in a feedback mechanism that is provided to let the user know how good the imitation is and on what part of the signature the user has still to improve. A scientific publication has been done to describe the procedure implemented in the Sign4J software: A. Wahl, J. Hennebert, A. Humm and R. Ingold. "Generation and Evaluation of Brute-Force Signature Forgeries". International Workshop on Multimedia Content Representation, Classification and Security (MRCS'06), Istanbul, Turkey. 2006. pp. 2-9. In this publication, we report about a large scale test done on the MCYT-100 database. The procedure and the software are used to generate a set of brute-force signatures on the MCYT-100 database. This set of forged signatures is used to evaluate the rejection performance of a baseline dynamic signature verification system. As expected, the brute-force forgeries generate more false acceptation in comparison to the random and low-force forgeries available in the MCYT-100 database.