• DocumentCode
    3488200
  • Title

    An Efficient Ground Truthing Tool for Binarization of Historical Manuscripts

  • Author

    Nafchi, H.Z. ; Ayatollahi, S.M. ; Moghaddam, Reza Farrahi ; Cheriet, Mohamed

  • Author_Institution
    Synchromedia Lab. for Multimedia Commun. in Telepresence, Ecole de Technol. Super., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    807
  • Lastpage
    811
  • Abstract
    For the purpose of facilitating benchmark contributions for binarization methods, a new fast ground truthing approach, called the PhaseGT, is proposed. This approach is used for building the 1st groundtruthed Persian Heritage Image Binarization Dataset (PHIBD 2012). The PhaseGT is a semiautomatic approach to ground truthing of images of any language, especially designed for historical document images. The main goal of the PhaseGT is to accelerate the ground truthing process and reduce the manual ground truthing effort. It uses the phase congruency features to preprocess the input image and to provide a more accurate initial binarization to the human expert who performs the manual part. This preprocessing is in turn based on a priori knowledge that is provided by human user. The PHIBD 2012 dataset contains 15 historical document images with their corresponding ground truth binary images. The historical images in the dataset suffer from various types of degradation. It has been also divided into two subsets of training and testing images for those binarization methods that use learning approaches.
  • Keywords
    document image processing; feature extraction; history; learning (artificial intelligence); PHIBD 2012 dataset; Persian heritage image binarization dataset; PhaseGT fast ground truthing approach; binarization method; document image degradation type; historical document image; historical manuscript binarization; image ground truthing tool; learning approach; phase congruency features; Data preprocessing; Degradation; Image edge detection; Ink; Manuals; Noise; Training; Binarization; Groundtruthing; Persian heritage dataset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2013.165
  • Filename
    6628730