• DocumentCode
    3059010
  • Title

    Shape description by UNL Fourier features-an application to handwritten character recognition

  • Author

    Rauber, T.W. ; Steiger-Garção, A.S.

  • Author_Institution
    Dept. de Inf., Univ. Nova de Lisboa, Monte de Caparica, Portugal
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    466
  • Lastpage
    469
  • Abstract
    Handwritten characters are forms. Thus they are accessible to form description methods. The authors present a universal shape characterization method applied to the domain of off-line handwritten characters. The test universe is restricted to the ten Arabic numerals but can be extended to any other characters. The authors point out previous work in the area of 2D shape classification and handwriting recognition. The theoretical concept of the authors´ shape descriptor is introduced together with a recipe to apply it in the real case of discrete binary images. Results of classification experiments are presented
  • Keywords
    character recognition; 2D shape classification; UNL Fourier features; classification experiments; discrete binary images; form description methods; handwritten character recognition; off-line handwritten characters; universal shape characterization method; Character recognition; Error analysis; Fourier series; Fourier transforms; Handwriting recognition; Intelligent robots; Neural networks; Polynomials; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201819
  • Filename
    201819