Publication:
CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE

Simple item page
dc.contributor.authorBaharum A.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorWahab S.H.A.en_US
dc.contributor.authorDeris F.D.en_US
dc.contributor.authorNoor N.A.M.en_US
dc.contributor.authorKasihmuddin M.S.M.en_US
dc.contributor.authorid55916175500en_US
dc.contributor.authorid36080877900en_US
dc.contributor.authorid57200169019en_US
dc.contributor.authorid56285335200en_US
dc.contributor.authorid57833379600en_US
dc.contributor.authorid57192191975en_US
dc.date.accessioned2023-05-29T09:36:29Z
dc.date.available2023-05-29T09:36:29Z
dc.date.issued2022
dc.description.abstractOptical character recognition is the art of scanning and detecting the word in the images so that the machine can identify and classify the character. Chinese characters are one of the world's most widely used writing systems. It is used by more than one-quarter of the world�s population in daily communication. Chinese characters can be considered difficult because they have many categories, complex character structures, similarities between characters, and various fonts or writing styles. There are many known machine learning algorithms for character recognition, but not all can classify Chinese characters with high speed and accuracy. Therefore, this paper proposes recognizing Chinese characters using support vector machines. Support vector machines are a classification of two classes widely used in classification. It produces very accurate results for many classes, making it suitable for recognizing Chinese characters. � 2022 Little Lion Scientific.en_US
dc.description.natureFinalen_US
dc.identifier.epage5340
dc.identifier.issue17
dc.identifier.scopus2-s2.0-85138946620
dc.identifier.spage5335
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138946620&partnerID=40&md5=ae95f3ab6edb2799dd97e099ad2681f0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26745
dc.identifier.volume100
dc.publisherLittle Lion Scientificen_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleCHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINEen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS