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Dr.Sreeraj M >
Please use this identifier to cite or link to this item:
http://purl.org/purl/4314
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| Title: | On-Line Handwritten Character Recognition using Kohonen Networks |
| Authors: | Sreeraj, M
Sumam, Mary Idicula |
| Keywords: | Malayalam handwritten characters
Artificial Neural Network
Feature extraction
Kohonen network (SOM) |
| Issue Date: | 9-Dec-2009 |
| Publisher: | IEEE |
| Abstract: | 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 |
| Description: | 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009) |
| URI: | http://dyuthi.cusat.ac.in/purl/4314 |
| Appears in Collections: | Dr.Sreeraj M
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