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An approach to offline Arabic character recognition using neural networks

Nawaz, S.N. and Sarfraz, M. and Zidouri, A. and Al-Khatib, W.G. (2003) An approach to offline Arabic character recognition using neural networks. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 3.

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Abstract

Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc. This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.



Item Type:Article
Date:December 2003
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Nawaz, S.N. and Sarfraz, M. and Zidouri, A. and Al-Khatib, W.G.
ID Code:14154
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:24
Last Modified:12 Apr 2011 13:14

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