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Novel Method for Handwriting Recognition Using a Variant of Decision Trees

机译:决策树变体的手写体识别新方法

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Recognizing the hand written document is one of the biggest challenges because of the variations in the handwritten text. The basic idea of this novel method is "divide and conquer". The algorithm recognizes the image in form of predefined glyphs. Based on the arrangement of the recognized glyphs, the exact character in the image can be recognized by comparing with the predefined glyphs using pattern trees. These set of predefined pattern trees is the signature of each character. The input symbol is compared with each of the patterns and the highest match is found and the correct character is identified.
机译:由于手写文本的变化,识别手写文档是最大的挑战之一。这种新颖方法的基本思想是“分而治之”。该算法以预定义字形的形式识别图像。基于已识别字形的排列,可以通过使用模式树与预定义字形进行比较来识别图像中的确切字符。这些预定义的模式树集是每个字符的签名。将输入符号与每个模式进行比较,并找到最高匹配项,并标识正确的字符。

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