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A scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognition

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dc.citedby3
dc.contributor.authorAl-Boeridi O.N.en_US
dc.contributor.authorSyed Ahmad S.M.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorid56507369200en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid22951210700en_US
dc.date.accessioned2023-05-29T06:00:00Z
dc.date.available2023-05-29T06:00:00Z
dc.date.issued2015
dc.descriptionBackpropagation; Feature extraction; Neural networks; Optical character recognition; Support vector machines; Vocabulary control; ANN; Decision systems; Gravity centers; Offline handwriting recognition; SVM; Character recognitionen_US
dc.description.abstractAn off-line handwriting recognition (OFHR) system is a computerized system that is capable of intelligently converting human handwritten data extracted from scanned paper documents into an equivalent text format. This paper studies a proposed OFHR for Malaysian bank cheques written in the Malay language. The proposed system comprised of three components, namely a character recognition system (CRS), a hybrid decision system and lexical word classification system. Two types of feature extraction techniques have been used in the system, namely statistical and geometrical. Experiments show that the statistical feature is reliable, accessible and offers results that are more accurate. The CRS in this system was implemented using two individual classifiers, namely an adaptive multilayer feed-forward back-propagation neural network and support vector machine. The results of this study are very promising and could generalize to the entire Malay lexical dictionary in future work toward scaled-up applications. � 2015, The Natural Computing Applications Forum.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s00521-015-1824-0
dc.identifier.epage1513
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84937971328
dc.identifier.spage1505
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937971328&doi=10.1007%2fs00521-015-1824-0&partnerID=40&md5=c96ab589b4d45db53fe7a8ef4bb51b8c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22285
dc.identifier.volume26
dc.publisherSpringer-Verlag London Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleNeural Computing and Applications
dc.titleA scalable hybrid decision system (HDS) for Roman word recognition using ANN SVM: study case on Malay word recognitionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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