Abjad Hawwaz
The authors present a system for the recognition of handwritten Arabic text using neural networks. This work builds upon previous work that dealt with the vertical segmentation of the written text. However, faced with some problems like overlapping characters that share the same vertical space, we t...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | article |
| منشور في: |
2005
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5126 http://dx.doi.org/10.1080/1206212X.2005.11441767 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.tandfonline.com/doi/pdf/10.1080/1206212X.2005.11441767?needAccess=true |
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| _version_ | 1864513465275645952 |
|---|---|
| author | Haraty, R. A. |
| author2 | El-Zabadani, H. M. |
| author2_role | author |
| author_facet | Haraty, R. A. El-Zabadani, H. M. |
| author_role | author |
| dc.creator.none.fl_str_mv | Haraty, R. A. El-Zabadani, H. M. |
| dc.date.none.fl_str_mv | 2005 2017-02-01T07:02:05Z 2017-02-01T07:02:05Z 2017-02-01 |
| dc.identifier.none.fl_str_mv | 1206-212X http://hdl.handle.net/10725/5126 http://dx.doi.org/10.1080/1206212X.2005.11441767 Haraty, R. A., & El-Zabadani, H. M. (2005). Abjad Hawwaz: An offline Arabic handwriting recognition system. international journal of computers and applications, 27(3), 178-189. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.tandfonline.com/doi/pdf/10.1080/1206212X.2005.11441767?needAccess=true |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | International Journal of Computers and Applications |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Abjad Hawwaz An Offline Arabic Handwriting Recognition System |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The authors present a system for the recognition of handwritten Arabic text using neural networks. This work builds upon previous work that dealt with the vertical segmentation of the written text. However, faced with some problems like overlapping characters that share the same vertical space, we tried to fix that problem by performing horizontal segmentation. In this research we will use two basic neural networks to perform the task; the first one identifies blocks that need to be horizontally segmented, and the second one performs the horizontal segmentation. Both networks use a set of features that are extracted using a heuristic program. The system was tested and the rate of recognition obtained was over 90%. This strongly supports the usefulness of proposed measures for handwritten Arabic text. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_261a2362f7c8cab59b7d58c9ec689fc2 |
| identifier_str_mv | 1206-212X Haraty, R. A., & El-Zabadani, H. M. (2005). Abjad Hawwaz: An offline Arabic handwriting recognition system. international journal of computers and applications, 27(3), 178-189. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5126 |
| publishDate | 2005 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Abjad HawwazAn Offline Arabic Handwriting Recognition SystemHaraty, R. A.El-Zabadani, H. M.The authors present a system for the recognition of handwritten Arabic text using neural networks. This work builds upon previous work that dealt with the vertical segmentation of the written text. However, faced with some problems like overlapping characters that share the same vertical space, we tried to fix that problem by performing horizontal segmentation. In this research we will use two basic neural networks to perform the task; the first one identifies blocks that need to be horizontally segmented, and the second one performs the horizontal segmentation. Both networks use a set of features that are extracted using a heuristic program. The system was tested and the rate of recognition obtained was over 90%. This strongly supports the usefulness of proposed measures for handwritten Arabic text.PublishedN/A2017-02-01T07:02:05Z2017-02-01T07:02:05Z20052017-02-01Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1206-212Xhttp://hdl.handle.net/10725/5126http://dx.doi.org/10.1080/1206212X.2005.11441767Haraty, R. A., & El-Zabadani, H. M. (2005). Abjad Hawwaz: An offline Arabic handwriting recognition system. international journal of computers and applications, 27(3), 178-189.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://www.tandfonline.com/doi/pdf/10.1080/1206212X.2005.11441767?needAccess=trueenInternational Journal of Computers and Applicationsinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/51262021-03-19T10:03:18Z |
| spellingShingle | Abjad Hawwaz Haraty, R. A. |
| status_str | publishedVersion |
| title | Abjad Hawwaz |
| title_full | Abjad Hawwaz |
| title_fullStr | Abjad Hawwaz |
| title_full_unstemmed | Abjad Hawwaz |
| title_short | Abjad Hawwaz |
| title_sort | Abjad Hawwaz |
| url | http://hdl.handle.net/10725/5126 http://dx.doi.org/10.1080/1206212X.2005.11441767 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.tandfonline.com/doi/pdf/10.1080/1206212X.2005.11441767?needAccess=true |