dc.contributor.author |
Dharmapala, KAKND |
|
dc.contributor.author |
Wijesooriya, WPMV |
|
dc.contributor.author |
Chandrasekara, CP |
|
dc.contributor.author |
Rathnapriya, UKAU |
|
dc.contributor.author |
Ranathunga, L |
|
dc.date.accessioned |
2017-03-11T10:09:18Z |
|
dc.date.available |
2017-03-11T10:09:18Z |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/12501 |
|
dc.description.abstract |
Identification of Sinhala characters is considerably more difficult than other wide-spoken languages because
of the complex shapes and similarities that are present within characters. With the addition of modifiers to the
core characters, the recognition becomes increasingly more difficult. Most of the present systems only address the
identification task of core characters which has potentially less real life applicability. The proposed solution tries to
identify characters with or without touching and non-touching modifiers which can be effectively used in multiple
applications. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Sinhala, Handwriting Recognition, Preprocessing, Character Segmentation, Classification, Neural Networks, Image Processing. |
en_US |
dc.title |
Sinhala Handwriting Recognition Mechanism Using Zone Based Feature Extraction |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Department of Information Technology |
en_US |
dc.identifier.year |
2015 |
en_US |
dc.identifier.conference |
ITRU RESEARCH SYMPOSIUM |
en_US |
dc.identifier.place |
UNIVERSITY OF MORATUWA |
en_US |
dc.identifier.pgnos |
10-15 |
en_US |
dc.identifier.email |
vpowerrc@gmail.com |
en_US |
dc.identifier.email |
naleendhanushka@gmail.com |
en_US |
dc.identifier.email |
chinthakacccc@gmail.com |
en_US |
dc.identifier.email |
amdevex@gmail.com |
en_US |
dc.identifier.email |
lochandaka@uom.lk |
en_US |