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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(5): 578-582 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.193

Handwritten Arabic Character Recognition Based on Minimal Geometric Features

Majid Harouni, Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, Sami M. Halawani, and Mahboubeh Afzali
Abstract—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.

Index Terms—Feature extraction; on-line character recognition; classification.

Majid Harouni is a Ph.D. candidate at UTMViCube Lab, Faculty of Computer Science and Information Systems, Universiti Technologi Malaysia, P. O. Box 81310, Skudai, Johor, Malaysia and with the Department of Computer Science, Islamic Azad University, Dolatabad branch, Isfahan, Iran (e-mail: majid.harouni@ gmail.com).
Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, and Mahboubeh Afzali are with the UTMViCube Lab, Faculty of Computer Science and Information Systems, Universiti Technologi Malaysia, P. O. Box 81310, Skudai, Johor, Malaysia (e-mail: dzulkifli@utm.my, shafry@utm.my, and afzali_mahboobeh@yahoo.com respectively).
Sami M. Halawani is with the Faculty of Computing and Information Technology, King Abdul Aziz University, Saudi Arabia (e-mail: halawani@kau.edu.sa).

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Cite:Majid Harouni, Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, Sami M. Halawani, and Mahboubeh Afzali, "Handwritten Arabic Character Recognition Based on Minimal Geometric Features," International Journal of Machine Learning and Computing vol.2, no. 5, pp. 578-582, 2012.

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