Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].

Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation. A suc...

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Bibliographic Details
Main Author: Abdullah, Shubair A.
Format: Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.usm.my/9181/
http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf
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author Abdullah, Shubair A.
author_facet Abdullah, Shubair A.
author_sort Abdullah, Shubair A.
building USM Institutional Repository
collection Online Access
description Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation. A successful handwritten Arabic character recognition system improves interactivity between the human and the computers.
first_indexed 2025-11-15T15:28:10Z
format Thesis
id usm-9181
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:28:10Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling usm-91812017-04-14T12:18:36Z http://eprints.usm.my/9181/ Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb]. Abdullah, Shubair A. PJ7501-8517 Arabic literature Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation. A successful handwritten Arabic character recognition system improves interactivity between the human and the computers. 2007-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf Abdullah, Shubair A. (2007) Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb]. Masters thesis, Universiti Sains Malaysia.
spellingShingle PJ7501-8517 Arabic literature
Abdullah, Shubair A.
Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title_full Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title_fullStr Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title_full_unstemmed Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title_short Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].
title_sort off-line handwritten arabic characters segmentation using slant-tolerant segment features (stsf) [pj6123. s562 2007 f rb].
topic PJ7501-8517 Arabic literature
url http://eprints.usm.my/9181/
http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf