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Title:
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On-Line Handwritten Character Recognition using Kohonen Networks |
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Author:
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Sreeraj, M; Sumam, Mary Idicula
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Abstract:
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This paper presents an efficient Online Handwritten
character Recognition System for Malayalam Characters
(OHR-M) using Kohonen network. It would help in
recognizing Malayalam text entered using pen-like devices. It
will be more natural and efficient way for users to enter text
using a pen than keyboard and mouse. To identify the
difference between similar characters in Malayalam a novel
feature extraction method has been adopted-a combination of
context bitmap and normalized (x, y) coordinates. The system
reported an accuracy of 88.75% which is writer independent
with a recognition time of 15-32 milliseconds |
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Description:
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2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009) |
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URI:
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http://dyuthi.cusat.ac.in/purl/4314
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Date:
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2009-12-09 |