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
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