• DocumentCode
    1635136
  • Title

    Arabic and Latin Script Identification in Printed and Handwritten Types Based on Steerable Pyramid Features

  • Author

    Benjelil, Mohamed ; Kanoun, Slim ; Mullot, RéMy ; Alimi, Adel M.

  • Author_Institution
    REGIM-ENIS, Sfax, Tunisia
  • fYear
    2009
  • Firstpage
    591
  • Lastpage
    595
  • Abstract
    Arabic and Latin script identification in printed and handwritten nature present several difficulties because the Arabic (printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper an accurate and suitable designed system for script identification at word level which is based on steerable pyramid transform. The features extracted from pyramid sub bands serve to classify the scripts on only one script among the scripts to identify. The encouraging and promising results obtained are presented in this research paper.
  • Keywords
    document image processing; feature extraction; handwritten character recognition; image classification; natural languages; transforms; Arabic script identification; feature extraction; handwritten Latin script identification; printed document; steerable pyramid transform; Automation; Character recognition; Data mining; Feature extraction; Handwriting recognition; Image recognition; Image texture analysis; Optical character recognition software; Text analysis; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.287
  • Filename
    5277581