Research on Cursive Font Recognition Based on Improved Hash Algorithm

Benguo Yu, Yinqing Tang, Yang Yang
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Abstract

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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基于改进哈希算法的草书字体识别研究
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。
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