• DocumentCode
    3486779
  • Title

    Real Time Camera Phone Guidance for Compliant Document Image Acquisition without Sight

  • Author

    Cutter, Michael P. ; Manduchi, Roberto

  • Author_Institution
    Comput. Eng. Dept., Univ. of California at Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    408
  • Lastpage
    412
  • Abstract
    Here we present an evaluation of an ideal document acquisition guidance system. Guidance is provided to help someone take a picture of a document capable of Optical Character Recognition (OCR). Our method infers the pose of the camera by detecting a pattern of fiduciary markers on a printed page. The guidance system offers a corrective trajectory based on the current pose, by optimizing the requirements for complete OCR. We evaluate the effectiveness of our software by measuring the quality of the image captured when we vary the experimental setting. After completing a user study with eight participants, we found that our guidance system is effective at helping the user position the phone in such a way that a compliant image is captured. This is based on an evaluation of a one way analysis of variance comparing the percentage of successful trials in each experimental setting. Negative Helmert Contrast is applied in order to tolerate only one ordering of experimental settings: no guidance (control), just confirmation, and full guidance.
  • Keywords
    cameras; document image processing; mobile handsets; optical character recognition; camera pose; compliant document image acquisition guidance system; compliant image; corrective trajectory; fiduciary markers; image quality measurement; negative Helmert contrast; optical character recognition; pattern detection; printed page; real time camera phone guidance; software effectiveness; Cameras; Mobile communication; Optical character recognition software; Real-time systems; Text analysis; Three-dimensional displays;
  • 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.2013.89
  • Filename
    6628654