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
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"
Conference_Titel :
Wearable Computers, 2006 10th IEEE International Symposium on
Print_ISBN :
1-4244-0597-1
Electronic_ISBN :
2376-8541
DOI :
10.1109/ISWC.2006.286368