Paper
27 January 2010 Image-based mobile service: automatic text extraction and translation
Jérôme Berclaz, Nina Bhatti, Steven J. Simske, John C. Schettino
Author Affiliations +
Proceedings Volume 7542, Multimedia on Mobile Devices 2010; 754204 (2010) https://doi.org/10.1117/12.840279
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
We present a new mobile service for the translation of text from images taken by consumer-grade cell-phone cameras. Such capability represents a new paradigm for users where a simple image provides the basis for a service. The ubiquity and ease of use of cell-phone cameras enables acquisition and transmission of images anywhere and at any time a user wishes, delivering rapid and accurate translation over the phone's MMS and SMS facilities. Target text is extracted completely automatically, requiring no bounding box delineation or related user intervention. The service uses localization, binarization, text deskewing, and optical character recognition (OCR) in its analysis. Once the text is translated, an SMS message is sent to the user with the result. Further novelties include that no software installation is required on the handset, any service provider or camera phone can be used, and the entire service is implemented on the server side.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jérôme Berclaz, Nina Bhatti, Steven J. Simske, and John C. Schettino "Image-based mobile service: automatic text extraction and translation", Proc. SPIE 7542, Multimedia on Mobile Devices 2010, 754204 (27 January 2010); https://doi.org/10.1117/12.840279
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Optical character recognition

Cell phones

Cameras

Binary data

Image processing

Prototyping

Clouds

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