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Offline signature verification system using hidden markov model (HMM) analysis of varying number of states and state transition topology

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dc.citedby0
dc.contributor.authorBakri N.B.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorShakil A.en_US
dc.contributor.authorid36805728300en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid24722081200en_US
dc.date.accessioned2023-12-28T07:30:43Z
dc.date.available2023-12-28T07:30:43Z
dc.date.issued2009
dc.description.abstractThis paper describes the design and development of an offline signature verification system that is based on Hidden Markov Modeling (HMM) technique performed on a series of a localized direction feature extracted from a scanned signature image. It also describes the analysis of the testing results by varying the number of HMM states (5, 6, 7, 8, 9 and 10 respectively) and their state transition topology. The testing reported in this paper has been carried out on signature samples of 100 users which contain both their genuine as well as their skilled and random forged signature samples counterparts. The chosen algorithm is simple to be implemented which results in fast verification operation, and at thesame time is reliable in detecting forgeries. � 2009 WASET.ORG.en_US
dc.description.natureFinalen_US
dc.identifier.epage1225
dc.identifier.scopus2-s2.0-78651542927
dc.identifier.spage1220
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78651542927&partnerID=40&md5=575fbc1568c2d6a626e9be4a341f2ac6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29672
dc.identifier.volume38
dc.pagecount5
dc.sourceScopus
dc.sourcetitleWorld Academy of Science, Engineering and Technology
dc.subjectHidden Markov
dc.subjectOffline Signature Biometrics
dc.subjectBiometrics
dc.subjectImage processing
dc.subjectDesign and Development
dc.subjectForged signature sample
dc.subjectHidden Markov
dc.subjectHidden Markov modeling
dc.subjectNumber of state
dc.subjectOff-line signature verification
dc.subjectOffline Signature Biometrics
dc.subjectSignature images
dc.subjectState transitions
dc.subjectTesting results
dc.subjectHidden Markov models
dc.titleOffline signature verification system using hidden markov model (HMM) analysis of varying number of states and state transition topologyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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