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 textrecognition 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, Internetenabled mobile camera-phone – a device that many visually-impaired individuals already own. This approach fills a gap in assistive technologies for the visuallyimpaired because it makes users aware of textual information not available to them through any other means.
Tudor Dumitras, Matthew L. Lee, Pablo Quinones, As