• DocumentCode
    3056415
  • Title

    Arabic Handwriting Recognition Using Projection Profile and Genetic Approach

  • Author

    Aljuaid, Hanan ; Mohamad, Dzulkifli ; Sarfraz, Muhammad

  • Author_Institution
    Fac. of Comput. Sci. & Info Syst., UTM, Johor Bharu, Malaysia
  • fYear
    2009
  • fDate
    Nov. 29 2009-Dec. 4 2009
  • Firstpage
    118
  • Lastpage
    125
  • Abstract
    This paper presents a complete system to recognize off-line Arabic handwriting. The proposed system starts from preprocessing and segmentation phases. It also includes thinning phase and finds vertical and horizontal projection profiles. The recognition phase is managed by genetic algorithm. The genetic algorithm stands on feature extraction algorithm that defines six features for each segment.
  • Keywords
    feature extraction; genetic algorithms; handwriting recognition; image segmentation; natural language processing; feature extraction algorithm; genetic algorithm; offline Arabic handwriting recognition; projection profile; segmentation phases; Biological cells; Character recognition; Feature extraction; Handwriting recognition; Image segmentation; Pixel; Shape; Character Recognition; Feature extraction; Genetic algorithm; segmentation; thinning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology & Internet-Based Systems (SITIS), 2009 Fifth International Conference on
  • Conference_Location
    Marrakesh
  • Print_ISBN
    978-1-4244-5740-3
  • Electronic_ISBN
    978-0-7695-3959-1
  • Type

    conf

  • DOI
    10.1109/SITIS.2009.29
  • Filename
    5634012
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3056415