• DocumentCode
    3322943
  • Title

    Rotation-invariant recognition of character strings for Korean cadastral map digitizing

  • Author

    Rhee, Phill K. ; Park, Jei S. ; Kang, Yeon G.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Inha Univ., Inchon, South Korea
  • Volume
    2
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    944
  • Abstract
    This paper addresses a novel recognition technique for rotated character strings. Rotated character strings appear in character/graph mixed drawings such as cadastral maps, engineering drawings, etc. Recently, there are huge demands for systems of automatic map recognition. One of the most critical obstacles for such systems, however is the recognition of rotated character strings. Rotated characters are represented by the relative chain code and recognized. The possible misinterpretation of a character string has been resolved by deriving vertical/horizontal vector of the character string from a recognized unambiguous character in the character string. The proposed technique discusses primarily numeral string recognition, but it can be readily extended to the strings of other character sets
  • Keywords
    cartography; character recognition; document image processing; Korean cadastral map digitizing; cadastral maps; character string; engineering drawings; map recognition; numeral string recognition; recognition of character strings; rotated character strings; Character recognition; Data analysis; Data mining; Engineering drawings; Feature extraction; Geographic Information Systems; Humans; Image recognition; Information systems; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.602057
  • Filename
    602057