• DocumentCode
    3695273
  • Title

    ICDAR2015 competition on smartphone document capture and OCR (SmartDoc)

  • Author

    JC. Burie;J. Chazalon;M. Coustaty;S. Eskenazi;M.M. Luqman;M. Mehri;N. Nayef;JM. Ogier;S. Prum;M. Rusiñol

  • Author_Institution
    L3i Laboratory, University of La Rochelle, France
  • fYear
    2015
  • Firstpage
    1161
  • Lastpage
    1165
  • Abstract
    Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition and digitization of documents, in order to convert them to editable, searchable and a more human-readable format. Current state-of-the-art works lack databases and baseline benchmarks for digitizing mobile captured documents. We have organized a competition for mobile document capture and OCR in order to address this issue. The competition is structured into two independent challenges: smartphone document capture, and smartphone OCR. This report describes the datasets for both challenges along with their ground truth, details the performance evaluation protocols which we used, and presents the final results of the participating methods. In total, we received 13 submissions: 8 for challenge-1, and 5 for challenge-2.
  • Keywords
    "Optical character recognition software","Protocols","Indexes","Manuals"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333943
  • Filename
    7333943