基于改进哈希算法的草书字体识别研究

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing Pub Date : 2023-01-05 DOI:10.1145/3583788.3583808

Benguo Yu, Yinqing Tang, Yang Yang

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引用次数: 0

摘要

本文主要探讨了中国草书字符识别方法，在研究过程中建立了标准草书数据库，提出了相似距离来衡量待识别草书字体与字符集之间的相似度，并对相似距离的计算方法进行了改进。通过实验比较，pH算法在草书字符识别中表现最好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Cursive Font Recognition Based on Improved Hash Algorithm

This paper mainly explores the method of Chinese cursive character recognition, establishes the Standard Cursive database in the process of research, and puts forward the similarity distance to measure the similarity between the cursive font to be recognized and the character set, and improves the calculation method of the similarity distance. Through experimental comparison, pH algorithm performs best in cursive character recognition.

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Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing

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