Citation
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
Abstract
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%.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.14569/IJACSA.2016.070453 |
| Publisher: | The Science and Information Organization |
| Keywords: | Arabic numeral character recognition; Image processing; Pattern recognition; Feature extraction; Object segmentation; Expert system |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 30 Oct 2017 04:05 |
| Last Modified: | 30 Oct 2017 04:05 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.14569/IJACSA.2016.070453 |
| URI: | http://psasir.upm.edu.my/id/eprint/53415 |
| Statistic Details: | View Download Statistic |
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