• DocumentCode
    2327043
  • Title

    A mathematical modeling approach to size invariant Greek character recognition

  • Author

    Alvertos, Nicolas ; D´Cunha, Ivan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
  • fYear
    1990
  • fDate
    11-13 Mar 1990
  • Firstpage
    12
  • Lastpage
    16
  • Abstract
    A new approach to the automatic machine recognition of Greek characters of any size and font is presented. Unlike most of the traditional methods, which are based on syntactic schemes, this method utilizes the topological characteristics of the characters to achieve recognition. Each character is individually modeled to a standard geometrical shape, and the least mean square method is used to form the best fit. Sample characters like alpha, beta, gamma, omega, theta, omicron, and rho have been successfully modeled with standard geometrical shapes, such as circles, lemniscates, cardioids, ellipses, and lines. An alternate approach to the automatic and reliable recognition of handwritten and printed Greek characters is also discussed
  • Keywords
    character recognition; least squares approximations; topology; Greek character recognition; automatic machine recognition; geometrical shape; least mean square; mathematical modeling; syntactic schemes; topological characteristics; Business; Character recognition; Feature extraction; Handwriting recognition; Least mean squares methods; Mathematical model; Natural languages; Piecewise linear approximation; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1990., Twenty-Second Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-2038-2
  • Type

    conf

  • DOI
    10.1109/SSST.1990.138105
  • Filename
    138105