The International Arab Journal of Information Technology (IAJIT)


Offline Isolated Arabic Handwriting Character Recognition System Based on SVM

This paper proposed a new architecture for Offline Isolated Arabic Handwriting Character Recognition System Based on SVM (OIAHCR). An Arabic handwriting dataset also proposed for training and testing the proposed system. Although half of the dataset used for training the Support Vector Machine (SVM) and the second half used for testing, the system achieved high performance with less training data. Besides, the system achieved best recognition accuracy 99.64% based on several feature extraction methods and SVM classifier. Experimental results show that the linear kernel of SVM is convergent and more accurate for recognition than other SVM kernels.

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[25] Zaki F., Elkonyaly S., Elfattah A., and Enab Y., “A New Technique for Arabic Handwriting Recognition,” in Proceedings of the 11th International Conference for Statistics and Computer Science, Cairo, pp. 171-180, 1986. Mustafa Kadhm is a lecturer at the Department of Computer Engineering Techniques, Imam Ja'afar Al-Sadiq University. He received his B.S. degrees in Software Engineering from Al- Mansour University College, Baghdad, Iraq in 2009 and M.S. in Information Technology from University of Tun Abdulrazak, Malaysia in 2012. His research interests include Artificial Intelligence, Image Processing, Computer Vision, Pattern Recognition, and Data Mining. Alia Abdul Hassan, Date of Birth: 28-3- 1971. Computer Science Dep. /University of Technology. B.Sc. Computer Science/ University of Technology/1993, MSc. Computer Science/ University of Technology/ 1999, Ph.D. Computer Science/ University of Technology /2004. Assistant professor since 20/3/2008. Position Deputy Dean of Computer Science Department since Feb 2015 till now. Supervised on 22 MSc. &PhD thesis in Computer Science since 2007. Publications Published more than (45) papers in International Conferences and Journals. Current Research Interests Soft computing, Green computing, AI, Data Mining, Software engineering, Document Recognition, Electronic Management, Computer security.