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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
http://eprints.usm.my/9181/
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spelling my.usm.eprints.9181 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.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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].
publishDate 2007
url http://eprints.usm.my/9181/1/OFF_LINE_HANDWRITTEN_ARABIC_CHARACTERS_SEGMENTATION_USING_SLANT_TOLERANT_SEGMENT_FEATURES_STSF.pdf
http://eprints.usm.my/9181/
_version_ 1643701198069432320
score 13.160551

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