HP Labs India

Research - Paper based interaction project
Content Identification and Recognition
 

Handwritten annotations are often used in offices and business processes. While moving from the digital world to the paper world is relatively easy moving the other way around for capturing handwritten information and annotations is a hard problem.

Our work focuses on intelligently segregating the ink from the paper document and recognizing it accurately. How can you distinguish handwritten text from printed text effectively? Also how well can you recognize the extracted handwritten ink? While OCR of printed text for the Roman script has achieved high-level of performance, there is still substantial work required for handwritten text.

 
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This page was last updated on March 19, 2010