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Effective Handwriting Recognition System Using Geometrical Character Analysis Algorithms

机译:使用几何特征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的几何特征进行自然书写识别的新方法。本文使用人工神经网络处理孤立手写字符的识别。作为实现的几何分析的结果,以孤立字符的图案描述的形式获得了已识别字符的图形表示。获得的字符的半径测量值是神经网络的输入,用于自然字体识别,而字体不受字体的影响。在本文中,我们提出了一种用于离线自然书写识别的新方法,并且还描述了我们在神经网络上进行的研究和测试。

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