• DocumentCode
    3376745
  • Title

    Improving a knowledge based approach for recognition of typed text characters using a 2-D FT

  • Author

    Gumahad, A.T., II ; Bourbakis, N.G.

  • Author_Institution
    US Air Force, Los Angeles, CA, USA
  • fYear
    1992
  • fDate
    10-13 Nov 1992
  • Firstpage
    251
  • Lastpage
    258
  • Abstract
    A nonconventional text character extraction technique, called horizontal-vertical projection (HVP), has been used for feature extraction of numerous alphanumeric symbols. In an earlier paper a classification algorithm based on a 1-D Fourier transform (FT) was used with NVP. An alternative 2-D FT feature extraction technique is presented and shown to improve on the 1-D approach
  • Keywords
    Fourier transforms; character recognition; feature extraction; 2D Fourier transform; alphanumeric symbols; feature extraction; horizontal-vertical projection; knowledge based approach; text character extraction technique; typed text characters; Character recognition; Charge coupled devices; Feature extraction; Fourier transforms; Image converters; Libraries; Optical character recognition software; Optical noise; Testing; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-8186-2905-3
  • Type

    conf

  • DOI
    10.1109/TAI.1992.246411
  • Filename
    246411
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3376745