• DocumentCode
    456510
  • Title

    Preprocessing Methods for Hand-written Arabic Words Recognition

  • Author

    Faouzi, Bouchareb ; Mouldi, BEDDA

  • Author_Institution
    Univ. de Skikda
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1809
  • Lastpage
    1811
  • Abstract
    This paper describes new schemes of preprocessing for hand-written Arabic word using Hough transform and geometrical processing applied on the chain code of skeleton of the word in order to determine and correct a baseline and slant of the word. We use these algorithms in order to obtain an aligned word which can be well segmented and recognized
  • Keywords
    Hough transforms; handwritten character recognition; Hough transform; chain code; geometrical processing; hand-written Arabic words recognition; Character recognition; Digital images; Equations; Histograms; Image analysis; Image converters; Natural languages; Optical character recognition software; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684661
  • Filename
    1684661
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=456510