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Anova-based feature analysis and selection in HMM-based offline signature verification system

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dc.citedby7
dc.contributor.authorBalbed M.A.M.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorShakil A.en_US
dc.contributor.authorid24721384800en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid24722081200en_US
dc.date.accessioned2023-12-28T07:30:45Z
dc.date.available2023-12-28T07:30:45Z
dc.date.issued2009
dc.description.abstractThis paper presents an analysis performance of different features in distinguishing between genuine and forged signatures for HMM based offline signature verification systems. The four offline features include pixel density, centre of gravity, distance and angle. All features considered are local in nature. The analysis technique used here is based on analysis of variance (ANOVA). Experimental results show that the combination of center of gravity and pixel density features are good for distinguishing between genuine and skilled forgeries for an HMM based offline signature verification system. � 2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5224240
dc.identifier.doi10.1109/CITISIA.2009.5224240
dc.identifier.epage69
dc.identifier.scopus2-s2.0-70449103604
dc.identifier.spage66
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70449103604&doi=10.1109%2fCITISIA.2009.5224240&partnerID=40&md5=7206cc974cad80ebb3e6a74682f6287f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29678
dc.pagecount3
dc.sourceScopus
dc.sourcetitle2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
dc.subjectHidden Markov models
dc.subjectIndustrial applications
dc.subjectIntelligent systems
dc.subjectPixels
dc.subjectRegression analysis
dc.subjectAnalysis techniques
dc.subjectCenter of gravity
dc.subjectCentre of gravity
dc.subjectDensity features
dc.subjectFeature analysis
dc.subjectOff-line signature verification
dc.subjectOffline
dc.subjectSkilled forgery
dc.subjectAnalysis of variance (ANOVA)
dc.titleAnova-based feature analysis and selection in HMM-based offline signature verification systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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