Technology of Graphic & Image
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1244-1246,1251

Offline handwritten Chinese character recognition based on improved inception

Chen Zhan
Qiu Weigen
Zhang Lichen
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

This paper studied offline handwritten Chinese character recognition based on inception neural network. It proposed an improved inception structure, which took the advantages of simpler structure, easier network depth expansion and less training parameters. The method used the proposed structure to verify on dataset CISIA-HWDB1.1. The model achieved an average accuracy of 96.95% by using stochastic gradient descent optimization algorithm. Experimental result shows that the improved inception structure has better generalization performance and robustness in image classification, and can be easily extended to other applications.

Foundation Support

国家自然科学基金资助项目(61873068)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0784
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Graphic & Image
Pages: 1244-1246,1251
Serial Number: 1001-3695(2020)04-061-1244-03

Publish History

[2020-04-05] Printed Article

Cite This Article

陈站, 邱卫根, 张立臣. 基于改进inception的脱机手写汉字识别 [J]. 计算机应用研究, 2020, 37 (4): 1244-1246,1251. (Chen Zhan, Qiu Weigen, Zhang Lichen. Offline handwritten Chinese character recognition based on improved inception [J]. Application Research of Computers, 2020, 37 (4): 1244-1246,1251. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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