On-line Handwritten Arabic Character Recognition using Artificial Neural Network

In this paper, an efficient approach for the recognition of online Arabic handwritten characters is presented. The method employed involves three phases: First, pre-processing in which the original image is transformed into a binary image .Second , training neural networks with feed-forward back propagation algorithm .Finally, the recognition of the character through the use of Neural Network techniques. The proposed approach is tested on 1400 different characters written by ten users. Each user wrote 28 Arabic characters five times in order to get different writing variations. Experiment results showed the effectiveness of our approach for recognizing handwritten Arabic characters.

[1]  Adnan Amin,et al.  Hand-printed arabic character recognition system using an artificial network , 1996, Pattern Recognit..

[2]  Sargur N. Srihari,et al.  Variable duration hidden Markov model and morphological segmentation for handwritten word recognition , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Amar Mitiche,et al.  Combination of pruned Kohonen maps for on-line arabic characters recognition , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[4]  Talaat S. El-Sheikh,et al.  Real-time arabic handwritten character recognition , 1989, Pattern Recognit..

[5]  Talaat S. El-Sheikh,et al.  Computer recognition of arabic cursive scripts , 1988, Pattern Recognit..

[6]  Gyeonghwan Kim,et al.  A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  M. Meyer,et al.  Multilayer perceptron based decision feedback equalisers for channels with intersymbol interference , 1993 .

[8]  Karim Faez,et al.  Handwritten Farsi (Arabic) word recognition: a holistic approach using discrete HMM , 2001, Pattern Recognit..

[9]  Karim Hadjar,et al.  Arabic newspaper page segmentation , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[10]  S. Alirezaee,et al.  Off-line Farsi / arabic handwritten word recognition using vector quantization and hidden Markov model , 2008, 2008 IEEE International Multitopic Conference.

[11]  D. Guillevic,et al.  HMM-KNN word recognition engine for bank cheque processing , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[12]  Ahmad Abdulkader,et al.  Two-Tier Approach for Arabic Offline Handwriting Recognition , 2006 .

[13]  Akram M. Zeki,et al.  The Segmentation Problem in Arabic Character Recognition The State Of The Art , 2005 .

[14]  Adnan Amin,et al.  Off-line Arabic character recognition: the state of the art , 1998, Pattern Recognit..

[15]  Neil W. Bergmann,et al.  An Arabic optical character recognition system using recognition-based segmentation , 2001, Pattern Recognit..

[16]  Amin A. Shoukry,et al.  On-line recognition of handwritten isolated arabic characters , 1989, Pattern Recognit..

[17]  Mohammad S. Khorsheed,et al.  Recognising handwritten Arabic manuscripts using a single hidden Markov model , 2003, Pattern Recognit. Lett..

[18]  Sabri A. Mahmoud,et al.  Arabic character recognition using fourier descriptors and character contour encoding , 1994, Pattern Recognit..

[19]  Ahmad T. Al-Taani,et al.  Recognition of on-Line Arabic Handwritten Characters Using Structural Features , 2010 .

[20]  Jianmin Jiang,et al.  Offline handwritten Arabic cursive text recognition using Hidden Markov Models and re-ranking , 2011, Pattern Recognit. Lett..

[21]  Maher A. Sid-Ahmed,et al.  Machine recognition of optically captured machine printed arabic text , 1990, Pattern Recognit..