Performance evaluation of a robust method for mathematical expression recognition
Performance evaluation of a robust method for mathematical expression recognition
复制标题
数学表达式识别鲁棒方法的性能评估
DOI：
10.1109/icdar.2001.953767
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
K. Takagi
中科院分区：
文献类型：
--
作者：
Masayuki Okamoto;Hiroki Imai;K. Takagi
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。
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.