• DocumentCode
    1581212
  • Title

    Gray level use in a handwriting fractal approach and morphological properties quantification

  • Author

    Vincent, N. ; Freche, T.

  • Author_Institution
    LI/E3I, Univ. de Tours, France
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    307
  • Lastpage
    311
  • Abstract
    Here we present an original approach to gray level writing images that relies on fractal methods. Some new parameters are defined that allow quantification of some handwriting properties. Some volumes in a 3D representation are computed and their evolution with respect to observation scale is used. Two properties are more precisely presented, regularity of the line drawn and regularity of the patterns involved in the writing
  • Keywords
    document image processing; feature extraction; fractals; handwriting recognition; parameter estimation; fractal methods; gray level images; gray level text images; handwriting recognition; parameter extraction; quantification process; Character recognition; Data mining; Fractals; Handwriting recognition; Humans; Shape; Writing; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953804
  • Filename
    953804