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
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.usm.my/29334/ |
| Abstract | Abstract here |
| _version_ | 1855631519749505024 |
|---|---|
| author | Abdullah, Shubair A. |
| author_facet | Abdullah, Shubair A. |
| author_sort | Abdullah, Shubair A. |
| 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 | 2025-10-17T08:02:33Z |
| format | Thesis |
| id | usm-29334 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:02:33Z |
| publishDate | 2007 |
| record_format | EPrints |
| record_pdf | Restricted |
| 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) |
| thesis_level | Master |
| 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/ |
| work_keys_str_mv | AT abdullahshubaira offlinehandwrittenarabiccharacterssegmentationusingslanttolerantsegmentfeaturesstsf |