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

Overlapped 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 w...

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Bibliographic Details
Main Authors: Razak Z., Zulkiflee K., Salleh R., Yaacob M.H., Tamil E.M.
Other Authors: 23394000600
Format: Article
Published: Faculty of Computer Science and Information Technology 2023
Subjects:
Jawi
Overlapped
Segmentation
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id my.uniten.dspace-29731
record_format dspace
spelling my.uniten.dspace-297312023-12-28T15:56:36Z A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip Razak Z. Zulkiflee K. Salleh R. Yaacob M.H. Tamil E.M. 23394000600 23394463200 23393688000 6701589862 23393727500 Jawi Overlapped Segmentation Overlapped 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. Final 2023-12-28T07:56:36Z 2023-12-28T07:56:36Z 2007 Article 10.22452/mjcs.vol20no2.5 2-s2.0-38049144467 https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049144467&doi=10.22452%2fmjcs.vol20no2.5&partnerID=40&md5=7c9efb6f02a02c0e01c0a679e89a0253 https://irepository.uniten.edu.my/handle/123456789/29731 20 2 171 182 All Open Access; Bronze Open Access Faculty of Computer Science and Information Technology Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Jawi
Overlapped
Segmentation
spellingShingle Jawi
Overlapped
Segmentation
Razak Z.
Zulkiflee K.
Salleh R.
Yaacob M.H.
Tamil E.M.
A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
description Overlapped 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.
author2 23394000600
author_facet 23394000600
Razak Z.
Zulkiflee K.
Salleh R.
Yaacob M.H.
Tamil E.M.
format Article
author Razak Z.
Zulkiflee K.
Salleh R.
Yaacob M.H.
Tamil E.M.
author_sort Razak Z.
title A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
title_short A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
title_full A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
title_fullStr A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
title_full_unstemmed A real-time line segmentation algorithm for an offline overlapped handwritten Jawi character recognition chip
title_sort real-time line segmentation algorithm for an offline overlapped handwritten jawi character recognition chip
publisher Faculty of Computer Science and Information Technology
publishDate 2023
_version_ 1806424277841346560
score 13.214268

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