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dc.contributor.authorNguyen, Vu
dc.contributor.authorBlumenstein, Michael
dc.contributor.editorJuan E. Guerrero
dc.date.accessioned2017-05-03T15:01:30Z
dc.date.available2017-05-03T15:01:30Z
dc.date.issued2012
dc.date.modified2013-07-08T05:08:53Z
dc.identifier.refurihttp://www.ict.griffith.edu.au/das2012/
dc.identifier.doi10.1109/DAS.2012.1
dc.identifier.urihttp://hdl.handle.net/10072/52333
dc.description.abstractWith increasing computational power, researchers in the area of off-line signature verification have been able to investigate feature extraction techniques that produce large-dimensional feature vectors. However, a large feature vector is not necessarily associated with high performance. This paper investigates the performance of a small feature set consisting of 33 feature values. In the experiments using Support Vector Machines (SVMs), an average error rate (AER) of 16.80% was obtained together with a low false acceptance rate (FAR) for random forgeries of 0.19%. The significant reduction of the error rate was obtained when the proposed global features were employed, which demonstrates their astonishingly high discriminant power. These results suggest that the use of global features for the off-line signature verification problem is worth further investigation.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherIEEE
dc.publisher.placeUnited States
dc.publisher.urihttp://www.ict.griffith.edu.au/das2012/
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencenameDAS 2012
dc.relation.ispartofconferencetitleProceedings 10th IAPR International Workshop on Document Analysis Systems DAS 2012
dc.relation.ispartofdatefrom2012-03-27
dc.relation.ispartofdateto2012-03-29
dc.relation.ispartoflocationGold Coast, Australia
dc.rights.retentionY
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchcode080109
dc.titleA Compact Size Feature Set for the Off-line Signature Verification Problem
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2012
gro.hasfulltextNo Full Text
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorNguyen, Vu


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    Contains papers delivered by Griffith authors at national and international conferences.

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