Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)

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

Bibliographic Details
Main Author: Abdullah, Shubair A.
Format: Thesis
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.usm.my/29334/
http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.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
first_indexed 2025-11-15T16:53:48Z
format Thesis
id usm-29334
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T16:53:48Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling usm-293342017-03-22T02:23:51Z http://eprints.usm.my/29334/ Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf) Abdullah, Shubair A. Q Science 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 2007-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.pdf Abdullah, Shubair A. (2007) Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf). Masters thesis, USM.
spellingShingle Q Science
Abdullah, Shubair A.
Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title_full Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title_fullStr Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title_full_unstemmed Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title_short Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
title_sort off-line handwritten arabic characters segmentation using slant-tolerant segment features (stsf)
topic Q Science
url http://eprints.usm.my/29334/
http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.pdf