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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2007
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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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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 |