IDEAS home Printed from https://ideas.repec.org/a/igg/jabim0/v5y2014i2p1-11.html
   My bibliography  Save this article

Image Analysis for Historical Japanese Book Archives

Author

Listed:
  • Chulapong Panichkriangkrai

    (Graduate School of Science and Engineering, Ritsumeikan University, Kyoto, Japan)

  • Liang Li

    (Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, Kyoto, Japan)

  • Ross Walker

    (College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan)

  • Kozaburo Hachimura

    (College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan)

Abstract

This paper describes methods of image analysis for historical Japanese book archives with a dominant focus on character segmentation. The segmentation methodology includes stain and smear removal, binarization, character line extraction, and character extraction by region labeling with integration and separation techniques. The experimental results show that the proposed method can segment all text lines correctly and can extract more than 79% of the characters from 16 pages of Chinsetsu Yumiharizuki, containing 176 text lines and a total of 5181 quite complicated characters.

Suggested Citation

  • Chulapong Panichkriangkrai & Liang Li & Ross Walker & Kozaburo Hachimura, 2014. "Image Analysis for Historical Japanese Book Archives," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 5(2), pages 1-11, April.
    • Handle: RePEc:igg:jabim0:v:5:y:2014:i:2:p:1-11
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijabim.2014040101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, J. & Nott, D.J. & Fan, Y. & Sisson, S.A., 2017. "Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 77-89.
    2. Bobinaite, Viktorija, 2015. "Financial sustainability of wind electricity sectors in the Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 794-815.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jabim0:v:5:y:2014:i:2:p:1-11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.