Word-Spotting in Unconstrained Camera Images: Control-F for the Real World
- Detailed Technology Description
- An improved OCR engine for real-world text reading using a mobile phone or other hand-held mobile device. The copyrighted software can capture words from street signs, grocery store placards, and a host of other non-standard print references and quickly interpret them with its built-in reference dictionary. The conversion to actionable information is fast and the application thin, enabling easy adoption in a mobile setting.
- Others
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Other Information
End-to-End Scene Text Recognition
Kai Wang and Serge Belongie. Word Spotting in the Wild. ECCV 2010, Heraklion, Crete. [PDF]
Code available at: http://vision.ucsd.edu/~kai/grocr/
Applications
Include word recognition for annotating Google Street View images, word recognition from a vehicle with an outward facing camera, word recognition to transcribe handwritten notes into document text.
Tech ID/UC Case
22668/2012-819-0
Related Cases
2012-819-0
- *Abstract
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None
- *Principal Investigator
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Name: Boris Babenko
Department:
Name: Serge Belongie
Department:
Name: Kai Wang
Department:
- Country/Region
- USA
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