Publication:
A hybrid statistical modelling, normalization and inferencing techniques of an off-line signature verification system

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dc.citedby5
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorShakil A.en_US
dc.contributor.authorFaudzi M.A.en_US
dc.contributor.authorAnwar R.Md.en_US
dc.contributor.authorBalbed M.A.M.en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid24722081200en_US
dc.contributor.authorid35193815200en_US
dc.contributor.authorid24721188400en_US
dc.contributor.authorid24721384800en_US
dc.date.accessioned2023-12-28T07:30:44Z
dc.date.available2023-12-28T07:30:44Z
dc.date.issued2009
dc.description.abstractThis paper presents an automatic off-line signature verification system that is built using several statistical techniques .The learning phase involves the use of Hidden Markov Modelling (HMM) technique to build a reference model for each local feature extracted from a set of signature samples of a particular user. The verification phase uses three layers of statistical techniques.. The first layer involves the computation of the HMM-based log-likelihood probability match score. The second layer performs the mapping of this score into soft boundary ranges of acceptance or rejection through the use of z-score analysis and normalization function. Next Bayesian inference technique is used to arrive at the final decision of accepting or rejecting a given signature sample. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5170651
dc.identifier.doi10.1109/CSIE.2009.973
dc.identifier.epage11
dc.identifier.scopus2-s2.0-71049169291
dc.identifier.spage6
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-71049169291&doi=10.1109%2fCSIE.2009.973&partnerID=40&md5=7fc2316377f5f6eae42c4feb1da1899a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29674
dc.identifier.volume6
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
dc.subjectBayesian inference
dc.subjectHidden Markov Model (HMM)
dc.subjectComputer science
dc.subjectHidden Markov models
dc.subjectInference engines
dc.subjectProbability density function
dc.subjectBayesian inference
dc.subjectFinal decision
dc.subjectHidden Markov Model (HMM)
dc.subjectLearning phase
dc.subjectLocal feature
dc.subjectLog likelihood
dc.subjectMatch score
dc.subjectOff-line signature verification
dc.subjectReference models
dc.subjectSecond layer
dc.subjectStatistical modelling
dc.subjectStatistical techniques
dc.subjectThree-layer
dc.subjectZ-score analysis
dc.subjectBayesian networks
dc.titleA hybrid statistical modelling, normalization and inferencing techniques of an off-line signature verification systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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