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Statistical classification of spatial relationships among mathematical symbols

机译:数学符号中空间关系的统计分类

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In this paper, a statistical decision method for automatic classification of spatial relationships between each adjacent pair is proposed. Each pair is composed of mathematical symbols and/or alphabetical characters. Special treatment of mathematical symbols with variable size is important. This classification is important to recognize an accurate structure analysis module of math OCR. Experimental results on a very large database showed that the proposed method worked well with an accuracy of 99.57% by two important geometric feature relative size and relative position.
机译:本文提出了一种统计决策方法,用于自动分类每个相邻对之间的空间关系。每对由数学符号和/或字母字符组成。具有可变大小的数学符号的特殊处理很重要。该分类对于识别Math OCR的准确结构分析模块非常重要。在一个非常大的数据库上的实验结果表明,所提出的方法的精度良好,精度为99.57%,两个重要的几何特征相对尺寸和相对位置。

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