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dc.contributor.convenorB.B. Chaudhuri, S.N. Srihari and L. Schomakeren_AU
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorA. Ferrer, Miguelen_US
dc.contributor.authorargas, J.en_US
dc.contributor.editorPatrick Kellenbergeren_US
dc.date.accessioned2017-05-03T13:03:30Z
dc.date.available2017-05-03T13:03:30Z
dc.date.issued2010en_US
dc.date.modified2011-04-19T07:03:47Z
dc.identifier.refuriwww.isical.ac.in/~icfhr2010/en_AU
dc.identifier.doi10.1109/ICFHR.2010.117en_AU
dc.identifier.urihttp://hdl.handle.net/10072/37832
dc.description.abstractThe 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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent296676 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010)en_US
dc.relation.ispartofconferencetitle12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010)en_US
dc.relation.ispartofdatefrom2010-11-16en_US
dc.relation.ispartofdateto2010-11-18en_US
dc.relation.ispartoflocationKolkata, Indiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode080109en_US
dc.titleThe 4NSigComp2010 off-line signature verification competition: Scenario 2en_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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