Off-line Arabic (Indian) numbers recognition using expert system
This paper proposes an effective approach to automatic recognition of printed Arabic numerals which are extracted from digital images. First, the input image is normalized and pre-processed to an acceptable form. From the preprocessed image, components of the words are segmented into individual obje...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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The Science and Information Organization
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53415/ http://psasir.upm.edu.my/id/eprint/53415/1/Off-line%20Arabic%20%28Indian%29%20numbers%20recognition%20using%20expert%20system.pdf |
| _version_ | 1848852277643706368 |
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| author | Malallah, Fahad Layth Saeed, Mostafah Ghanem M. Aziz, Maysoon Arigbabu, Olasimbo Ayodeji Syed Ahmad, Sharifah Mumtazah |
| author_facet | Malallah, Fahad Layth Saeed, Mostafah Ghanem M. Aziz, Maysoon Arigbabu, Olasimbo Ayodeji Syed Ahmad, Sharifah Mumtazah |
| author_sort | Malallah, Fahad Layth |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper proposes an effective approach to automatic recognition of printed Arabic numerals which are extracted from digital images. First, the input image is normalized and pre-processed to an acceptable form. From the preprocessed image, components of the words are segmented into individual objects representing different numbers. Second, the numerical recognition is performed using an expert system based on a set of if-else rules, where each set of rules represents the categorization of each number. Finally, rigorous experiments are carried out on 226 random Arabic numerals selected from 40 images of Iraqi car plate numbers. The proposed method attained an accuracy of 97%. |
| first_indexed | 2025-11-15T10:35:31Z |
| format | Article |
| id | upm-53415 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:35:31Z |
| publishDate | 2016 |
| publisher | The Science and Information Organization |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-534152017-10-30T04:05:13Z http://psasir.upm.edu.my/id/eprint/53415/ Off-line Arabic (Indian) numbers recognition using expert system Malallah, Fahad Layth Saeed, Mostafah Ghanem M. Aziz, Maysoon Arigbabu, Olasimbo Ayodeji Syed Ahmad, Sharifah Mumtazah This paper proposes an effective approach to automatic recognition of printed Arabic numerals which are extracted from digital images. First, the input image is normalized and pre-processed to an acceptable form. From the preprocessed image, components of the words are segmented into individual objects representing different numbers. Second, the numerical recognition is performed using an expert system based on a set of if-else rules, where each set of rules represents the categorization of each number. Finally, rigorous experiments are carried out on 226 random Arabic numerals selected from 40 images of Iraqi car plate numbers. The proposed method attained an accuracy of 97%. The Science and Information Organization 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53415/1/Off-line%20Arabic%20%28Indian%29%20numbers%20recognition%20using%20expert%20system.pdf Malallah, Fahad Layth and Saeed, Mostafah Ghanem and M. Aziz, Maysoon and Arigbabu, Olasimbo Ayodeji and Syed Ahmad, Sharifah Mumtazah (2016) Off-line Arabic (Indian) numbers recognition using expert system. International Journal of Advanced Computer Science and Applications (IJACSA), 7 (4). pp. 397-406. ISSN 2158-107X; ESSN: 2156-5570 http://thesai.org/Publications/ViewPaper?Volume=7&Issue=4&Code=IJACSA&SerialNo=53 10.14569/IJACSA.2016.070453 |
| spellingShingle | Malallah, Fahad Layth Saeed, Mostafah Ghanem M. Aziz, Maysoon Arigbabu, Olasimbo Ayodeji Syed Ahmad, Sharifah Mumtazah Off-line Arabic (Indian) numbers recognition using expert system |
| title | Off-line Arabic (Indian) numbers recognition using expert system |
| title_full | Off-line Arabic (Indian) numbers recognition using expert system |
| title_fullStr | Off-line Arabic (Indian) numbers recognition using expert system |
| title_full_unstemmed | Off-line Arabic (Indian) numbers recognition using expert system |
| title_short | Off-line Arabic (Indian) numbers recognition using expert system |
| title_sort | off-line arabic (indian) numbers recognition using expert system |
| url | http://psasir.upm.edu.my/id/eprint/53415/ http://psasir.upm.edu.my/id/eprint/53415/ http://psasir.upm.edu.my/id/eprint/53415/ http://psasir.upm.edu.my/id/eprint/53415/1/Off-line%20Arabic%20%28Indian%29%20numbers%20recognition%20using%20expert%20system.pdf |