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A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip

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dc.citedby5
dc.contributor.authorRazak Z.en_US
dc.contributor.authorZulkiflee K.en_US
dc.contributor.authorSalleh R.en_US
dc.contributor.authorYaacob M.H.en_US
dc.contributor.authorTamil E.M.en_US
dc.contributor.authorid23394000600en_US
dc.contributor.authorid23394463200en_US
dc.contributor.authorid23393688000en_US
dc.contributor.authorid6701589862en_US
dc.contributor.authorid23393727500en_US
dc.date.accessioned2023-12-28T07:56:36Z
dc.date.available2023-12-28T07:56:36Z
dc.date.issued2007
dc.description.abstractOverlapped characters between upper and lower lines can cause a major problem in line segmentation of cursive characters such as Jawi (similar to Arabic characters). In this paper we will discuss our fast approach using a tangent value to find a separation point (SP) for accurate line segmentation without data loss. This approach will be used to design a dedicated Jawi Character Recognition Chip with the objective of obtaining 90% recognition accuracy.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.22452/mjcs.vol20no2.5
dc.identifier.epage182
dc.identifier.issue2
dc.identifier.scopus2-s2.0-38049144467
dc.identifier.spage171
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-38049144467&doi=10.22452%2fmjcs.vol20no2.5&partnerID=40&md5=7c9efb6f02a02c0e01c0a679e89a0253
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29731
dc.identifier.volume20
dc.pagecount11
dc.publisherFaculty of Computer Science and Information Technologyen_US
dc.relation.ispartofAll Open Access; Bronze Open Access
dc.sourceScopus
dc.sourcetitleMalaysian Journal of Computer Science
dc.subjectJawi
dc.subjectOverlapped
dc.subjectSegmentation
dc.titleA real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chipen_US
dc.typeArticleen_US
dspace.entity.typePublication
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