| Research Area: | Year: | 2006 | |||||
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| Type of Publication: | Misc | Keywords: | biometrics; Signature; Forgeries | ||||
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| How published: | http://www.hennebert.org/web/Videos/signature-imitation-software.html | Month: | September | ||||
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| Note: | Some of the files below are copyrighted. They are provided for your convenience, yet you may download them only if you are entitled to do so by your arrangements with the various publishers. |
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| Abstract: | 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. |
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