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Handwritten Arabic character recognition based on minimal geometric features

On-line handwriting recognition is one of the most successful applications in the area of pattern recognition. Though this field is quite matured, yet the research issues are still challenging, particularly in handwriting character recognition, where the problems are still wide open. The OCR system...

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Main Authors: Harouni, Majid, Mohamad, Dzulkifli, Mohd. Rahim, Mohd. Shafry, M. Halawani, Sami, Afzali, Mahboubeh
Format: Article
Published: International Association of Computer Science and Information Technology Press (IACSIT) 2012
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/30503/
http://dx.doi.org/10.7763/IJMLC.2012.V2.193
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spelling my.utm.305032019-01-28T03:46:58Z http://eprints.utm.my/id/eprint/30503/ Handwritten Arabic character recognition based on minimal geometric features Harouni, Majid Mohamad, Dzulkifli Mohd. Rahim, Mohd. Shafry M. Halawani, Sami Afzali, Mahboubeh QA75 Electronic computers. Computer science On-line handwriting recognition is one of the most successful applications in the area of pattern recognition. Though this field is quite matured, yet the research issues are still challenging, particularly in handwriting character recognition, where the problems are still wide open. The OCR system for printed characters is almost done, though it cannot guarantee for 100% accuracy. However, the research works in recognition of Arabic handwriting are still at the beginning and require more attention. This paper presents the novel on-line Arabic handwriting character recognition. An efficient approach is introduced here to divide it into some particular component. A set of features are extracted from these components, and then encoded for the classification stage. The system classification is implemented by using two processes, i.e. weight initialization in back propagation, and with multilayer perceptron neural network. Finally, the proposed system was tested on a database of Arabic handwritten samples. International Association of Computer Science and Information Technology Press (IACSIT) 2012-10 Article PeerReviewed Harouni, Majid and Mohamad, Dzulkifli and Mohd. Rahim, Mohd. Shafry and M. Halawani, Sami and Afzali, Mahboubeh (2012) Handwritten Arabic character recognition based on minimal geometric features. International Journal of Machine Learning and Computing, 2 (5). pp. 578-582. ISSN 2012-3700 http://dx.doi.org/10.7763/IJMLC.2012.V2.193 DOI: 10.7763/IJMLC.2012.V2.193
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Harouni, Majid
Mohamad, Dzulkifli
Mohd. Rahim, Mohd. Shafry
M. Halawani, Sami
Afzali, Mahboubeh
Handwritten Arabic character recognition based on minimal geometric features
description On-line handwriting recognition is one of the most successful applications in the area of pattern recognition. Though this field is quite matured, yet the research issues are still challenging, particularly in handwriting character recognition, where the problems are still wide open. The OCR system for printed characters is almost done, though it cannot guarantee for 100% accuracy. However, the research works in recognition of Arabic handwriting are still at the beginning and require more attention. This paper presents the novel on-line Arabic handwriting character recognition. An efficient approach is introduced here to divide it into some particular component. A set of features are extracted from these components, and then encoded for the classification stage. The system classification is implemented by using two processes, i.e. weight initialization in back propagation, and with multilayer perceptron neural network. Finally, the proposed system was tested on a database of Arabic handwritten samples.
format Article
author Harouni, Majid
Mohamad, Dzulkifli
Mohd. Rahim, Mohd. Shafry
M. Halawani, Sami
Afzali, Mahboubeh
author_facet Harouni, Majid
Mohamad, Dzulkifli
Mohd. Rahim, Mohd. Shafry
M. Halawani, Sami
Afzali, Mahboubeh
author_sort Harouni, Majid
title Handwritten Arabic character recognition based on minimal geometric features
title_short Handwritten Arabic character recognition based on minimal geometric features
title_full Handwritten Arabic character recognition based on minimal geometric features
title_fullStr Handwritten Arabic character recognition based on minimal geometric features
title_full_unstemmed Handwritten Arabic character recognition based on minimal geometric features
title_sort handwritten arabic character recognition based on minimal geometric features
publisher International Association of Computer Science and Information Technology Press (IACSIT)
publishDate 2012
url http://eprints.utm.my/id/eprint/30503/
http://dx.doi.org/10.7763/IJMLC.2012.V2.193
_version_ 1643648570708983808
score 13.211869

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