Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)

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Title Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)
Author Liwicki, Marcus; Malik, Muhammad Imran; Heuvel, C. Elisa van den; Chen, Xiaohong; Berger, Charles; Stoel, Reinoud; Blumenstein, Michael Myer; Found, Bryan
Publication Title Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR 2011)
Editor Kaizhu Huang, Di Wen
Year Published 2011
Place of publication United States
Publisher IEEE
Abstract The Netherlands Forensic Institute and the Institute for Forensic Science in Shanghai are in search of a signature verification system that can be implemented in forensic casework and research to objectify results. We want to bridge the gap between recent technological developments and forensic casework. In collaboration with the German Research Center for Artificial Intelligence we have organized a signature verification competition on datasets with two scripts (Dutch and Chinese) in which we asked to compare questioned signatures against a set of reference signatures. We have received 12 systems from 5 institutes and performed experiments on online and offline Dutch and Chinese signatures. For evaluation, we applied methods used by Forensic Handwriting Examiners (FHEs) to assess the value of the evidence, i.e., we took the likelihood ratios more into account than in previous competitions. The data set was quite challenging and the results are very interesting.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.icdar2011.org/EN/volumn/home.shtml
Alternative URI http://dx.doi.org/10.1109/ICDAR.2011.294
ISBN 978-0-7695-4520-2
Conference name ICDAR 2011
Location Beijing, China
Date From 2011-09-18
Date To 2011-09-21
URI http://hdl.handle.net/10072/45287
Date Accessioned 2012-04-01; 2012-05-28T22:35:34Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing; Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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