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Analysis of the effect of different features' performance on hidden markov modeling based online and offline signature verification systems

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dc.citedby7
dc.contributor.authorShakil A.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorAnwar R.B.M.en_US
dc.contributor.authorBalbed M.A.M.en_US
dc.contributor.authorid24722081200en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid24721188400en_US
dc.contributor.authorid24721384800en_US
dc.date.accessioned2023-12-28T07:41:45Z
dc.date.available2023-12-28T07:41:45Z
dc.date.issued2008
dc.description.abstractThis paper presents a study on the performance of different features in distinguishing between genuine and forged signatures for HMM based online and offline signature verification systems. The online features considered in the study include speed, angle along the trajectory, pen pressure and acceleration. The offline features include pixel density, centre of gravity, distance and angle. All features considered are local in nature Two analysis techniques are considered - ANOVA based and Equal Error rate (EER) based. Experimental results show that all online features have a high distinguishing capability while for the offline case, angle and distance are good for distinguishing between genuine and skilled forgeries for an HMM based signature verification system while pixel density and centre of gravity are not. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4700073
dc.identifier.doi10.1109/DICTA.2008.76
dc.identifier.epage577
dc.identifier.scopus2-s2.0-67549137657
dc.identifier.spage572
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-67549137657&doi=10.1109%2fDICTA.2008.76&partnerID=40&md5=715eda36383c1fcfeee8c3b669f4e25c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29711
dc.pagecount5
dc.sourceScopus
dc.sourcetitleProceedings - Digital Image Computing: Techniques and Applications, DICTA 2008
dc.subjectHidden Markov models
dc.subjectPixels
dc.subjectAnalysis techniques
dc.subjectCentre of gravity
dc.subjectEqual error rate
dc.subjectHidden Markov modeling
dc.subjectOff-line signature verification
dc.subjectOffline
dc.subjectPen-pressure
dc.subjectSignature verification
dc.subjectSkilled forgery
dc.subjectOnline systems
dc.titleAnalysis of the effect of different features' performance on hidden markov modeling based online and offline signature verification systemsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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