Tablet inscription recognition based on the convolutional neural network

IF 0.3 Q3 Arts and Humanities
Shun Luo
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引用次数: 0

Abstract

Text image recognition has opened up a new path for intelligent text sorting and research. The number of epitaph inscriptions is very large and of great value. Due to the limitation of objective conditions, there are many deficiencies in the study of its text arrangement and it is urgent to adopt new methods and new technologies to overcome them. This paper attaches great importance to the design of an automatic recognition algorithm for tablets based on the convolutional neural network. It also describes the application prospects of using the algorithm for the reading and distinguishing of inscriptions, the sorting of inscriptions, and the building of intelligent databases.
基于卷积神经网络的碑文识别
文本图像识别为智能文本分类和研究开辟了一条新的途径。墓志铭的数量非常多,价值很高。由于客观条件的限制,其文本编排研究存在诸多不足,急需采用新方法、新技术加以克服。本文着重设计了一种基于卷积神经网络的平板电脑自动识别算法。描述了该算法在铭文识别、铭文分类、智能数据库建设等方面的应用前景。
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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来源期刊
Journal of Chinese Writing Systems
Journal of Chinese Writing Systems Arts and Humanities-History
CiteScore
0.40
自引率
0.00%
发文量
26
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