| dc.contributor.author |
Kannan, Balakrishnan |
|
| dc.contributor.author |
Pramod, K V |
|
| dc.contributor.author |
Jomy, John |
|
| dc.date.accessioned |
2014-07-22T05:46:35Z |
|
| dc.date.available |
2014-07-22T05:46:35Z |
|
| dc.date.issued |
2011-03-23 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4196 |
|
| dc.description |
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on |
en_US |
| dc.description.abstract |
Optical Character Recognition plays an important role
in Digital Image Processing and Pattern Recognition. Even
though ambient study had been performed on foreign languages
like Chinese and Japanese, effort on Indian script is still
immature. OCR in Malayalam language is more complex as it is
enriched with largest number of characters among all Indian
languages. The challenge of recognition of characters is even high
in handwritten domain, due to the varying writing style of each
individual. In this paper we propose a system for recognition of
offline handwritten Malayalam vowels. The proposed method
uses Chain code and Image Centroid for the purpose of
extracting features and a two layer feed forward network with
scaled conjugate gradient for classification |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Malayalam |
en_US |
| dc.subject |
Handwritten Character Recognition |
en_US |
| dc.subject |
Image Processing |
en_US |
| dc.subject |
Chain code |
en_US |
| dc.subject |
Feed forward network. |
en_US |
| dc.title |
Offline Handwritten Malayalam Character Recognition Based on Chain Code Histogram |
en_US |
| dc.type |
Article |
en_US |