• DocumentCode
    3623924
  • Title

    Eye of the Beholder: Phone-Based Text-Recognition for the Visually-Impaired

  • Author

    Tudor Dumitras;Matthew Lee;Pablo Quinones;Asim Smailagic;Dan Siewiorek;Priya Narasimhan

  • Author_Institution
    Carnegie Mellon University. tdumitra@andrew.cmu.edu
  • fYear
    2006
  • Firstpage
    145
  • Lastpage
    146
  • Abstract
    Blind and visually-impaired people cannot access essential information in the form of written text in our environment (e.g., on restaurant menus, street signs, door labels, product names and instructions, expiration dates). In this paper, we present and evaluate a mobile text-recognition system capable of extracting written information from a wide variety of sources and communicating it on-demand to the user. The user needs no additional hardware except an ordinary, Internet- enabled mobile camera-phone - a device that many visually-impaired individuals already own. This approach fills a gap in assistive technologies for the visually- impaired because it makes users aware of textual information not available to them through any other means.
  • Keywords
    "Mobile handsets","Text recognition","Data mining","Hardware","Internet","Product safety","Land mobile radio cellular systems","Cameras","Image quality","Optical character recognition software"
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers, 2006 10th IEEE International Symposium on
  • ISSN
    1550-4816
  • Print_ISBN
    1-4244-0597-1
  • Electronic_ISBN
    2376-8541
  • Type

    conf

  • DOI
    10.1109/ISWC.2006.286368
  • Filename
    4067751