标题:The implementation of the Chinese language and character recognition system based on the deep learning
作者:Wang, Yanwen
通讯作者:Wang, Yanwen
作者机构:[Wang, Yanwen ] School of Literature, Shandong University, Ji’nan; Shandong; 250100, China
会议名称:1st International Conference on Big Data Analytics for Cyber-Physical System in Smart City, BDCPS 2019
会议日期:28 December 2019 through 29 December 2019
来源:Advances in Intelligent Systems and Computing
出版年:2020
卷:1117 AISC
页码:1761-1765
DOI:10.1007/978-981-15-2568-1_248
关键词:Chinese language and characters; Implementation; In-depth learning; Recognition system; Research
摘要:The Chinese language is an important symbol of the Chinese traditional cultures, and also an important manifestation of the integration of the information technology and the traditional cultures. How to use the intelligent technology to promote the Chinese language and writing has also become an important trend of the development of the current era. In the process of the Chinese character recognition, the feature learning method and the DLQDF classifier proposed in this paper can obtain the performance of the deep convolution neural network (deep CNN). Therefore, the computational cost of the recognition is lower than that of the deep convolution neural network. © Springer Nature Singapore Pte Ltd. 2020.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079526459&doi=10.1007%2f978-981-15-2568-1_248&partnerID=40&md5=1f6e758302bfbfd6a4d4ab7cc5e53667
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