• DocumentCode
    2507976
  • Title

    Low-complexity text extraction in Korean signboards for mobile applications

  • Author

    Dinh, Toan Nguyen ; Park, Jonghyun ; Lee, Gueesang

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Chonnam Nat. Univ., Gwangju
  • fYear
    2008
  • fDate
    8-11 July 2008
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    Text extraction is a very important step in text understanding. Natural scene images bring new challenges to correctly extract interested text regions. In the paper, an efficient and low-complexity text extraction method is used to extract Korean text from signboards of shops. By combining the edge-based approach and some knowledge of the Korean text specified in our application, our method successfully extracts text and can be used in the mobile devices which have low capability.
  • Keywords
    mobile computing; natural language processing; text analysis; Korean signboards; mobile applications; text extraction; text understanding; Application software; Data mining; Gray-scale; Histograms; Image processing; Image segmentation; Layout; Mobile computing; Mobile handsets; Optical reflection; edge profile; histogram; mobile application; natural scene image; text extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-2357-6
  • Electronic_ISBN
    978-1-4244-2358-3
  • Type

    conf

  • DOI
    10.1109/CIT.2008.4594697
  • Filename
    4594697
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2507976