Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features /
Thesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2015
| Main Authors: | , , |
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| Format: | |
| Language: | eng |
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Johor Bahru, Johor : Universiti Teknologi Malaysia,
2015
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| Subjects: |
| _version_ | 1796754029815005184 |
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| author | Ahmed Abdullah Ahmed, 1985-, author Ghazali Sulong, supervisor Fakulti Kejuruteraan. Sekolah Komputeran |
| author_facet | Ahmed Abdullah Ahmed, 1985-, author Ghazali Sulong, supervisor Fakulti Kejuruteraan. Sekolah Komputeran |
| author_sort | Ahmed Abdullah Ahmed, 1985-, author |
| collection | OCEAN |
| description | Thesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2015 |
| first_indexed | 2024-03-05T14:42:25Z |
| format | |
| id | KOHA-OAI-TEST:523895 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T14:42:25Z |
| publishDate | 2015 |
| publisher | Johor Bahru, Johor : Universiti Teknologi Malaysia, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5238952020-12-19T17:19:42ZOff-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / Ahmed Abdullah Ahmed, 1985-, author Ghazali Sulong, supervisor Fakulti Kejuruteraan. Sekolah Komputeran Johor Bahru, Johor : Universiti Teknologi Malaysia,2015engThesis (Doktor Falsafah, Bidang Penyelidikan: Sains Komputer)) - Universiti Teknologi Malaysia, 2015Bibliography: 189-203 p.SPSL Arabic language Optical character recognition |
| spellingShingle | Arabic language Optical character recognition Ahmed Abdullah Ahmed, 1985-, author Ghazali Sulong, supervisor Fakulti Kejuruteraan. Sekolah Komputeran Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title | Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title_full | Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title_fullStr | Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title_full_unstemmed | Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title_short | Off-line writer recognition for Arabic handwritten text document based on beginning and ending stroke features / |
| title_sort | off line writer recognition for arabic handwritten text document based on beginning and ending stroke features |
| topic | Arabic language Optical character recognition |
| work_keys_str_mv | AT ahmedabdullahahmed1985author offlinewriterrecognitionforarabichandwrittentextdocumentbasedonbeginningandendingstrokefeatures AT ghazalisulongsupervisor offlinewriterrecognitionforarabichandwrittentextdocumentbasedonbeginningandendingstrokefeatures AT fakultikejuruteraansekolahkomputeran offlinewriterrecognitionforarabichandwrittentextdocumentbasedonbeginningandendingstrokefeatures |