• DocumentCode
    3197644
  • Title

    Automatic evaluation of binarization approaches — Application on ancient documents

  • Author

    Ben Messaoud, Ines ; Amiri, Hamid ; Abed, H.E. ; Märgner, Volker

  • Author_Institution
    Lab. des Syst. et Traitement de Signal (LSTS), Ecole Nat. d´´Ing. de Tunis (ENIT) Tunis, Tunis, Tunisia
  • fYear
    2011
  • fDate
    18-20 Dec. 2011
  • Firstpage
    116
  • Lastpage
    121
  • Abstract
    The document preprocessing output may affect the efficiency of the document analysis and recognition system. In order to ameliorate the efficiency of those systems, an objective evaluation of preprocessing step is essential. In this paper we propose a new framework for automatic evaluation of binarization approaches. The evaluation of binarization approaches is based on the comparison between input images and generated ground-truth. The automatic method of ground-truth generation is an improvement of a semi-automatic method. The tests was applied on two different datasets, training dataset is composed from parts of documents, the test dataset is composed from entire historical documents.
  • Keywords
    history; image enhancement; image recognition; binarization approach; document analysis system; document preprocessing output; document recognition system; ground-truth generation; historical ancient document; input image quality enhancement; preprocessing step objective evaluation; semiautomatic method; Databases; Equations; Estimation; Mathematical model; Noise measurement; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Networks and Services (NGNS), 2011 3rd International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-0138-1
  • Type

    conf

  • DOI
    10.1109/NGNS.2011.6142552
  • Filename
    6142552