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:	PJ7501-8517 Arabic literature
Online Access:	http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf
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id	my-usm-ep.9181
record_format	uketd_dc
spelling	my-usm-ep.91812017-04-14T12:18:36Z Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb]. 2007-04 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 http://eprints.usm.my/9181/ http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	PJ7501-8517 Arabic literature
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].
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.
format	Thesis
qualification_level	Master's degree
author	Abdullah, Shubair A.
author_facet	Abdullah, Shubair A.
author_sort	Abdullah, Shubair A.
title	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_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_sort	off-line handwritten arabic characters segmentation using slant-tolerant segment features (stsf) [pj6123. s562 2007 f rb].
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer
publishDate	2007
url	http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf
_version_	1747819761446682624

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

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