识别数学表达式时的符号分类算法

O. Veres, I. Rishnyak, Halyna Rishniak
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引用次数: 0

摘要

本文描述了数学表达式符号识别过程的特点。研究了结构分析和字符分类同时进行的可能性。对于符号分类过程的初始化,分割后的二值图像通过贝叶斯网络进行“粗”分类。本文描述了一个数学表达式符号分类的迭代过程,该过程使用机器学习的方法实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for classification of symbols when recognizing a mathematical expression
The article describes the features of the process of recognition of symbols of mathematical expressions. The possibility of simultaneous execution of structural analysis and character classification is investigated. For the initial initialization of the symbol classification process, a segmented binary image passes a “gross” classification by the Bayesian network. The article describes an iterative process of classification of symbols of the mathematical expression, which is implemented using the methods of machine learning.
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