• DocumentCode
    2029746
  • Title

    Multi-window binarization of camera image for document recognition

  • Author

    Kim, In-Jung

  • Author_Institution
    Inzisoft Co. Ltd., South Korea
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    323
  • Lastpage
    327
  • Abstract
    This paper proposes an adaptive binarization method for the document image acquired by camera. By applying multiple windows vary in size, it determines the local thresholds with the information from the global trend as well as the local detail. As the consequence, the proposed method is good at not only preserving fine detail of the character structure but also absorbing noise. The effectiveness of the proposed method was shown by the experiment.
  • Keywords
    cameras; document image processing; image recognition; adaptive binarization method; camera image; document image recognition; multiwindow binarization; Brightness; Cameras; Focusing; Image analysis; Image recognition; Lenses; Text analysis; adaptive binarization; camera image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
  • ISSN
    1550-5235
  • Print_ISBN
    0-7695-2187-8
  • Type

    conf

  • DOI
    10.1109/IWFHR.2004.70
  • Filename
    1363931