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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