The 4NSigComp2010 off-line signature verification competition: Scenario 2

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Title The 4NSigComp2010 off-line signature verification competition: Scenario 2
Author Blumenstein, Michael Myer; Ferrer, Miguel A.; Vargas, J. F.
Publication Title 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010)
Editor Patrick Kellenberger
Year Published 2010
Place of publication United States
Publisher IEEE
Abstract The objective of this competition (4NSigComp2010) is to ascertain the performance of automatic off-line signature verifiers to evaluate recent technology developments in the areas of document analysis and machine learning. The current paper focuses on the second scenario, which aims at performance evaluation of off-line signature verification systems on a newly-created large dataset that comprises genuine, simulated signatures produced by unskilled imitators or random signatures (genuine signatures from other writers). Ten systems were evaluated, and some interesting results are presented in terms of accuracy and execution time. The top ranking system attained an overall error of 8.94%. This result interestingly correlates with the top ranking accuracy achieved in a previous signature verification competition at ICDAR 2009.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICFHR.2010.117
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 9780769542218
Conference name 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010)
Location Kolkata, India
Date From 2010-11-16
Date To 2010-11-18
URI http://hdl.handle.net/10072/37832
Date Accessioned 2011-03-13
Date Available 2011-04-19T07:03:47Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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