• DocumentCode
    2191203
  • Title

    An on-line handwriting character recognition algorithm. RAV (reparameterized angle variations)

  • Author

    Masaki, S. ; Kobayashi, M. ; Miyamoto, O. ; Nakagawa, Y. ; Matsumoto, T.

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    919
  • Abstract
    A new algorithm RAV (Reparameterized Angle Variations) is proposed which makes explicit use of trajectory information where the time evolution of the pen coordinates plays a crucial role. The algorithm is extremely robust against stroke connections (“Tsuzukeji”) as well as shape distortions (“Kuzushi-ji”). Preliminary experiments are reported on tests against the Kuchibue.d-96-02 data base from Tokyo University of Agriculture and Technology
  • Keywords
    character recognition; handwriting recognition; RAV; handwriting character recognition; on-line; reparameterized angle variations; shape distortions; stroke connections; trajectory information; Algorithm design and analysis; Application software; Character recognition; Data compression; Data mining; Feature extraction; Handwriting recognition; Information analysis; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.620645
  • Filename
    620645