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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3878-3881

Research on handwritten Chinese character recognition based on deep learning with different noise

Ren Xiaowen
Wang Tao
Li Jianyu
Zhao Xiangning
Guo Yina
Dept. of Electronics & Information Engineering, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0579

Abstract

The problem that the recognition rate of handwritten Chinese characters is affected by random noise, this paper proposed a new algorithm based on deep learning and noise suppression. This algorithm was mainly aimed at handwritten Chinese character characters and pictures with random noise. It was a model that used Caffe platform to establish noise suppression and convolutional neural networks in the Python environment. It removed noise and correctly recognized handwritten Chinese characters. In addition, the new algorithm did not change the character while removing noise, and retained the original Chinese character information. As a result, the noise intensity of two different types of noise(Gaussian noise and salt-and-pepper noise) was gradually increased, it performed multiple experiments and compared them with other methods, the average recognition rate was 97.05%. The experimental results show that the model and algorithm have the advantages of high efficiency and strong recognition ability.

Foundation Support

国家自然科学基金资助项目(61301250)
山西省互联网＋3D打印协同创新中心及山西省科技创新团队(201705D131025)
山西省高等学校优秀青年学术带头人支持计划资肋项目(晋教科［2015］3号)
山西省高校“131”领军人才工程“优秀中青年拔尖创新人才”资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0579
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Technology of Graphic & Image
Pages: 3878-3881
Serial Number: 1001-3695(2019)12-079-3878-04

Publish History

[2019-12-05] Printed Article

Cite This Article

任晓文, 王涛, 李健宇, 等. 基于深度学习的异噪声下手写汉字识别的研究 [J]. 计算机应用研究, 2019, 36 (12): 3878-3881. (Ren Xiaowen, Wang Tao, Li Jianyu, et al. Research on handwritten Chinese character recognition based on deep learning with different noise [J]. Application Research of Computers, 2019, 36 (12): 3878-3881. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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