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

机译:人工神经网络在波斯/阿拉伯手稿字母识别中的应用

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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.
机译:摘要:-字母识别是近年来研究的范畴之一,具有许多应用。考虑到各种手写体,正确识别手稿字母存在许多困难。在文献中,已使用各种算法对不同语言的手稿进行字母识别。关于机器学习,并行处理,灵活性和模式识别方面的人工神经网络(ANN)能力,这将是在该领域中使用的便捷方法。在本文中,我们提出了一种基于ANN的波斯语/阿拉伯手稿字母识别算法。最后,我们说明了所提出的方法是用于波斯/阿拉伯手稿字母识别的最佳方法之一。

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