一种鲁棒数学表达式识别方法的性能评价

Proceedings of Sixth International Conference on Document Analysis and Recognition Pub Date : 2001-09-10 DOI:10.1109/ICDAR.2001.953767

Masayuki Okamoto, Hiroki Imai, K. Takagi

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引用次数: 33

摘要

我们提出了两种数学表达式识别方法。一种是基于投影轮廓切割，另一种是使用自顶向下和自底向上的策略来分析表达式的二维结构。本文描述了后一种方法在结构分析鲁棒性和在矩阵识别中的应用方面的改进。为了评估我们的方法的性能，我们对从许多数学期刊上收集的大量数学表达式图像进行了大量的实验。

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Performance evaluation of a robust method for mathematical expression recognition

We proposed two methods for mathematical expression recognition. One is based on projection profile cutting and the other uses top-down and bottom-up strategies to analyze the two-dimensional structure of expressions. The paper describes the improvement of the latter method in terms of structural analysis robustness and application to matrix recognition. To evaluate the performance of our method, intensive experiments were carried out on a large variety of mathematical expression images which were collected from many mathematical journals.

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Proceedings of Sixth International Conference on Document Analysis and Recognition

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