Offline Arabic Handwriting Recognition Using Artificial Neural Network

Details Offline Arabic Handwriting Recognition Using Artificial Neural Network Offline Arabic Handwriting Recognition Using Artificial Neural Network

2010-06-14

arxiv.org/abs/1006.2809v1

Journal of Computer Science and Engineering, Volume 1, Issue 1, p55-58, May 2010

Computer Science

Computation and Language

Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010

Scientific paper

The ambition of a character recognition system is to transform a text document typed on paper into a digital format that can be manipulated by word processor software Unlike other languages, Arabic has unique features, while other language doesn't have, from this language these are seven or eight language such as ordo, jewie and Persian writing, Arabic has twenty eight letters, each of which can be linked in three different ways or separated depending on the case. The difficulty of the Arabic handwriting recognition is that, the accuracy of the character recognition which affects on the accuracy of the word recognition, in additional there is also two or three from for each character, the suggested solution by using artificial neural network can solve the problem and overcome the difficulty of Arabic handwriting recognition.

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