• DocumentCode
    3695281
  • Title

    ICDAR2015 competition on Text Image Super-Resolution

  • Author

    Clément Peyrard;Moez Baccouche;Franck Mamalet;Christophe Garcia

  • Author_Institution
    Orange Labs, 4, rue du Clos Courtel, 35510 Cesson-Sé
  • fYear
    2015
  • Firstpage
    1201
  • Lastpage
    1205
  • Abstract
    This paper presents the first international competition on Text Image Super-Resolution (SR) and the ICDAR2015-TextSR dataset. We describe the core of the competition: interest, dataset generation and evaluation procedure, together with participating teams and their respective methods. The obtained results, along with baseline image upscaling schemes and state-of-the-art SR approaches are reported and commented. The main conclusion of this competition is that SR systems may improve OCR performances by up to 16.55 points in accuracy compared with bicubic interpolation for the proposed low resolution images.
  • Keywords
    "Image resolution","Optical character recognition software","Yttrium","Irrigation","Image recognition","TV","High definition video"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333951
  • Filename
    7333951