Technology of Graphic & Image
|
623-627

Chinese character detection in natural scene based on Gaussian density map estimation

Hu Qiaoyu
Tong Minglei
School of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Abstract

Aiming at the nodus of small Chinese text detection in natural scene, this paper proposed a parallel deep network based on Gaussian density map estimation to detect Chinese characters in natural scene. Firstly, it converted the position information of Chinese characters into a Gaussian text density map. Secondly, in order to improve the ability to capture network details, it used a multi-level parallel connection structure. Ultimately, the network combined the upsampling operation to fuse the feature information in the network to obtain a high-precision text density map, then realized the positioning of the text area through post-processing. This paper experimented on Chinese dataset CTW. The results show that the precision and recall rates of the method are both improved, demonstrate the feasibility and accuracy of the method.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0262
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Technology of Graphic & Image
Pages: 623-627
Serial Number: 1001-3695(2022)02-053-0623-05

Publish History

[2021-10-09] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

胡巧遇, 仝明磊. 基于高斯密度图估计的自然场景汉字检测 [J]. 计算机应用研究, 2022, 39 (2): 623-627. (Hu Qiaoyu, Tong Minglei. Chinese character detection in natural scene based on Gaussian density map estimation [J]. Application Research of Computers, 2022, 39 (2): 623-627. )

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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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