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A Study on Character Recognition Error Correction at Higher Le Recognition Step for Mathematical Formulae Understanding

机译:数学公式理解的较高LE识别步骤中的字符识别纠错研究

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In this paper we propose a method for correcting character recognition errors at the higher level recognition step in an understanding system for mathematical formulae. The system consists of two-level recognition steps: the low level recognition including character recognition, and the higher level recognition including layout recognition. We use the layout information recognized in the latter step to correct the character recognition errors by using two sources of information. One is based on some keywords such as mathematical function names, and the other is based on a cost tree and co-occurrence probabilities between symbols. The efficacy of the proposed method is verified by some experimental results, and the character recognition rate increased from 80.2% to 89.2%.
机译:在本文中,我们提出了一种用于在理解系统中校正较高级别识别误差的方法,用于数学公式的更高级别识别步骤。该系统由两级识别步骤组成:低级识别,包括字符识别,以及包括布局识别的更高级别识别。我们使用后一步中识别的布局信息来纠正通过两个信息源来纠正字符识别错误。一个是基于一些关键字,例如数学函数名称,另一个基于符号之间的成本树和共生成概率。通过一些实验结果验证了所提出的方法的疗效,性格识别率从80.2%增加到89.2%。

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