• DocumentCode
    2220225
  • Title

    Writer identification by writer´s invariants

  • Author

    BENSEFIA, Ameur ; Nosary, Ali ; Paquet, Thierry ; Heutte, Laurent

  • Author_Institution
    Lab. Perception Sytemes Inf., Univ. de Rouen, Mont-Saint-Aignan, France
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    274
  • Lastpage
    279
  • Abstract
    This communication deals with the problem of writer identification. If the assumption of writing individuality is true then graphical fragments that constitute it should be individual too. Therefore we propose a morphological grapheme based analysis to make writer identification. Template Matching is the core of the approach. The redundancy of the individual patterns in a writing, defined as the writer´s invariants, allows to compress the handwritten texts while maintaining good identification performance. Two series of tests are reported. The first series is designed to evaluate the relevance of our approach of identification on a basis of 88 writers by evaluating the influence of the text representation (with or without invariants) on the quality of the method. The method gives about 97,7% of correct identification when using large compressed samples of handwriting. The second series of tests is designed to evaluate the influence of the sample size of the writing to be identified on the quality of the method. It is shown that writer identification can reach a correct identification rate of 92,9% using only samples of 50 graphemes of each writing.
  • Keywords
    handwriting recognition; cursive handwritings; morphological analysis; morphological grapheme; offline identification; template matching; writer identification; Conferences; Feature extraction; Fingerprint recognition; Genetics; Handwriting recognition; Noise measurement; Noise reduction; Technical drawing; Testing; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
  • Print_ISBN
    0-7695-1692-0
  • Type

    conf

  • DOI
    10.1109/IWFHR.2002.1030922
  • Filename
    1030922