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IJSTR >> Volume 1 - Issue 8, September 2012 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Artificial Neural Network Application In Letters Recognition For Farsi/Arabic Manuscripts

[Full Text]



Farhad Soleimanian Gharehchopogh, Ezzat Ahmadzadeh



Keywords:- Artificial Neural Networks, Back Propagation Algorithm, Letter Recognition, Multi-Layer Perceptron, Farsi/Arabic, Manuscripts



Abstract:- Letter recognition for manuscript is one of the categories that has been deliberated in recent years and has many applications. Considering variety of hand writings correct recognition of manuscript letter has many difficulties. In literature various algorithms has been used to letter recognition for manuscript in different languages. Regarding to artificial neural networks (ANNs) abilities in machine learning, parallel processing, flexibility and pattern recognition it would be a convenient method to be used in this field. In this paper, we proposed an ANN based algorithm to letter recognition for Farsi/Arabic manuscript. Finally, we illustrate that proposed method is one of the best method to be used in letter recognition for Farsi/Arabic manuscript.



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