Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
896-900

Document image binarization algorithm based on background estimation and U-Net

Xiong Weia,b
Wang Xinruia
Wang Juana,b
Liu Mina,b
Zeng Chunyana,b
a. School of Electrical & Electronic Engineering, b. Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan 430068, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0666

Abstract

Low quality document images have various degradation factors, such as page stains, ink bleed-through and background texture. This paper proposed a novel document image binarization algorithm based on background estimation and U-Net. The algorithm first performed image contrast enhancement, and estimated the document image background via morphological closing operations. It then adopted a fully convolutional network, namely the U-Net, to extract the foreground text from the document background. Finally, it used the global optimal thresholding method to obtain the resulting binary image. Experimental results show that in the 2016 and 2017 DIBCO the proposed method outperforms other state-of-the-art document image binarization algorithms in terms of F-measure, pseudo F-measure, PSNR and DRD, with 5.58%、2.47%、0.86 dB and 1.19%.

Foundation Support

国家自然科学基金资助项目(61571182,61601177)
湖北省自然科学基金资助项目(2019CFB530)
国家留学基金资助项目(201808420418)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0666
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Graphic & Image
Pages: 896-900
Serial Number: 1001-3695(2020)03-057-0896-05

Publish History

[2020-03-05] Printed Article

Cite This Article

熊炜, 王鑫睿, 王娟, 等. 融合背景估计与U-Net的文档图像二值化算法 [J]. 计算机应用研究, 2020, 37 (3): 896-900. (Xiong Wei, Wang Xinrui, Wang Juan, et al. Document image binarization algorithm based on background estimation and U-Net [J]. Application Research of Computers, 2020, 37 (3): 896-900. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)