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Effective Handwriting Recognition System Using Geometrical Character Analysis Algorithms

机译:使用几何字符分析算法的有效手写识别系统

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We propose a new method for natural writing recognition that utilizes geometric features of letters. The paper deals with recognition of isolated handwritten characters using an artificial neural network. As a result of the geometrical analysis realized, graphical representations of recognized characters are obtained in the form of pattern descriptions of isolated characters. The radius measurements of the characters obtained are inputs to the neural network for natural writing recognition which is font independent. In this paper, we present a new method for off-line natural writing recognition and also describe our research and tests performed on the neural network.
机译:我们提出了一种利用字母几何特征的自然写作识别方法。本文涉及使用人工神经网络识别孤立的手写字符。由于几何分析实现,以隔离字符的图案描述的形式获得认可字符的图形表示。所获得的字符的半径测量是针对自然写入识别的神经网络的输入,这是无关的。在本文中,我们提出了一种新的自然写作识别方法,并描述了我们对神经网络进行的研究和测试。

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