Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/105800
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dc.contributor.authorSuwanwiwat, Hemmaphanen_US
dc.contributor.authorDasb, Abbhijiten_US
dc.contributor.authorFerrer Ballester, Miguel Ángelen_US
dc.contributor.authorPal, Umapadaen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.date.accessioned2021-03-16T09:44:42Z-
dc.date.available2021-03-16T09:44:42Z-
dc.date.issued2018en_US
dc.identifier.isbn1-895193-06-0en_US
dc.identifier.urihttp://hdl.handle.net/10553/105800-
dc.description.abstractThis paper presents an investigation of an off-line automatic assessment system utilising discrete Hidden Markov Models. A set of geometric features were extracted from handwritten words and were later classified by HMMs. There were two training datasets employed in the experiments; the first training dataset contained all correct answers to the questions whereas another training dataset contained both correct and incorrect answers to the questions. Datasets contained 3,000 and 3,400 handwritten samples, respectively. The experiments yielded promising results whereby the highest recognition rate of 91.90% with a 100% accuracy was achieved on our database.en_US
dc.languageengen_US
dc.sourceProceedings of 1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)en_US
dc.subject3325 Tecnología de las telecomunicacionesen_US
dc.subject.otheroff-line automatic assessment systemen_US
dc.subject.otherHidden Markov Models (HMMs)en_US
dc.subject.otherfixed-point arithmeticen_US
dc.subject.othergeometric featuresen_US
dc.titleAn Investigation of Discrete Hidden Markov Models on Handwritten Short Answer Assessment Systemen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference)en_US
dc.description.lastpage149en_US
dc.description.firstpage144en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdatemayo 2018en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
Appears in Collections:Actas de congresos
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