• DocumentCode
    3439942
  • Title

    Texture approach for nets extraction application to old Arab newspapers images structuring

  • Author

    Charrada, Mohamed Aymen ; Ben Amara, Najoua Essoukri

  • Author_Institution
    Adv. Syst. in Electr. Eng. Res. unit (SAGE), Nat. Eng. Sch. of Sousse, Sousse, Tunisia
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    212
  • Lastpage
    216
  • Abstract
    In this paper, we give an overview on approaches for nets extraction from printed documents. We present also our contribution to this area operating on historical Arab periodicals. The developed method is based on Gabor filters exploration followed by post-processing steps. It allows the extraction of different nets types such as slightly erased lines or lines with inclinations and curvatures. The various tests and experiments were performed on images database obtained from historical documents with complex structure, collected from various newspapers coming from the Tunisian National Library archives. The obtained results show many interesting perspectives.
  • Keywords
    Gabor filters; document image processing; feature extraction; image texture; publishing; visual databases; Arab newspapers image structuring; Gabor filter; Tunisian National Library archives; historical Arab periodical; image database; line curvature; line inclination; nets extraction application; printed document; slightly erased line; texture approach; Artificial intelligence; Electrical engineering; Image databases; Image resolution; Image segmentation; US Department of Defense; Gabor filters; Segmentation; degradations; historical Arab periodicals; post-processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2154-5111
  • Print_ISBN
    978-1-4673-2585-1
  • Type

    conf

  • DOI
    10.1109/IPTA.2012.6469530
  • Filename
    6469530