ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Artificial Neural Network Application In Letters Recognition For FarsiArabic Manuscripts

Journal: International Journal of Scientific & Technology Research (Vol.1, No. 8)

Publication Date:

Authors : ; ;

Page : 90-94

Keywords : Keywords- Artificial Neural Networks; Back Propagation Algorithm; Letter Recognition; Multi-Layer Perceptron; FarsiArabic; Manuscripts;

Source : Downloadexternal Find it from : Google Scholarexternal


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 FarsiArabic manuscript. Finally we illustrate that proposed method is one of the best method to be used in letter recognition for FarsiArabic manuscript.

Last modified: 2013-04-13 21:45:31