Novel Method for Handwriting Recognition Using a Variant of Decision Trees

Srikanth Doss Kadarundalagi Raghuram Doss
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Abstract

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.
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一种基于决策树的手写识别新方法
由于手写文本的变化,识别手写文档是最大的挑战之一。这种新方法的基本思想是“分而治之”。该算法以预定义的符号形式识别图像。在此基础上,利用模式树将识别出的字符与预定义的字符进行比较,从而识别出图像中准确的字符。这些预定义的模式树集合是每个字符的签名。将输入符号与每个模式进行比较,找到最高匹配并识别正确的字符。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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