• DocumentCode
    2591387
  • Title

    OCR Correction via Human Computational Game

  • Author

    Jovian, Lin Tingji ; Amprimo, Olivier

  • Author_Institution
    Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    4-7 Jan. 2011
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    We present TypeAttack, a Facebook game that improves the efficiency of digitization, which is the process of converting analog information into digital information. In this game, players compete to type out texts from images of scanned documents in the quickest time possible, with the utmost accuracy. These historical documents are thus manually digitized as a bi-product of game play. Harnessing the perceptual abilities of humans as well as their desire to be entertained, TypeAttack enhances the digitization of old documents, especially those that cannot be transcribed accurately by Optical Character Recognition (OCR) programs.
  • Keywords
    computer games; optical character recognition; Facebook game; OCR correction; TypeAttack; analog information; digital information; historical documents; human computational game; optical character recognition; scanned documents; Accuracy; Facebook; Games; Humans; Libraries; Optical character recognition software; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2011 44th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-9618-1
  • Type

    conf

  • DOI
    10.1109/HICSS.2011.319
  • Filename
    5718602