Publication:
Hybrid of HMM and Fuzzy Logic for handwritten character recognition

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dc.citedby6
dc.contributor.authorSuliman A.en_US
dc.contributor.authorShakil A.en_US
dc.contributor.authorSulaiman Md.N.en_US
dc.contributor.authorOthman M.en_US
dc.contributor.authorWirza R.en_US
dc.contributor.authorid25825739000en_US
dc.contributor.authorid24722081200en_US
dc.contributor.authorid22434244300en_US
dc.contributor.authorid56036884700en_US
dc.contributor.authorid35614233000en_US
dc.date.accessioned2023-12-29T07:55:32Z
dc.date.available2023-12-29T07:55:32Z
dc.date.issued2008
dc.description.abstractThis paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results from a few sample images give a reasonable recognition rate on a more challenging database of lower-case handwritten characters. This proved the proposed hybrid of the two techniques are compatible and can be used to complement each other effectively. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4631674
dc.identifier.doi10.1109/ITSIM.2008.4631674
dc.identifier.scopus2-s2.0-57349119966
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349119966&doi=10.1109%2fITSIM.2008.4631674&partnerID=40&md5=960579994ef775eed81c67ec88b0b8fe
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30901
dc.identifier.volume2
dc.relation.ispartofAll Open Access; Green Open Access
dc.sourceScopus
dc.sourcetitleProceedings - International Symposium on Information Technology 2008, ITSim
dc.subjectCharacter recognition
dc.subjectComputational linguistics
dc.subjectFeature extraction
dc.subjectFuzzy sets
dc.subjectFuzzy systems
dc.subjectHidden Markov models
dc.subjectInformation technology
dc.subjectExtracting features
dc.subjectHandwritten character recognitions
dc.subjectHandwritten characters
dc.subjectHybrid approaches
dc.subjectLinguistic variables
dc.subjectRecognition rates
dc.subjectFuzzy logic
dc.titleHybrid of HMM and Fuzzy Logic for handwritten character recognitionen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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