An Online Character Recognition System to Convert Grantha Script to Malayalam
S. Sreeraj M. International Journal of Advanced Computer Science and Applications(IJACSA), (2012)
Abstract
This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malayalam. A framework for the recognition of Grantha script using online character recognition is designed and implemented. The features extracted from the Grantha script comprises mainly of time-domain features based on writing direction and curvature. The recognized characters are mapped to corresponding Malayalam characters. The framework was tested on a bed of medium length manuscripts containing 9-12 sample lines and printed pages of a book titled Soundarya Lahari writtenin Grantha by Sri Adi Shankara to recognize the words and sentences. The manuscript recognition rates with the system are for Grantha as 92.11\%, Old Malayalam 90.82\% and for new Malayalam script 89.56\%. The recognition rates of pages of the printed book are for Grantha as 96.16\%, Old Malayalam script 95.22\% and new Malayalam script as 92.32\% respectively. These results show the efficiency of the developed system.
%0 Journal Article
%1 IJACSA.2012.030709
%A Sreeraj M, Sumam Mary Idicula
%D 2012
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K Grantha Malayalam; Online character recognition scripts; system.
%N 7
%T An Online Character Recognition System to Convert Grantha Script to Malayalam
%U http://ijacsa.thesai.org/
%V 3
%X This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malayalam. A framework for the recognition of Grantha script using online character recognition is designed and implemented. The features extracted from the Grantha script comprises mainly of time-domain features based on writing direction and curvature. The recognized characters are mapped to corresponding Malayalam characters. The framework was tested on a bed of medium length manuscripts containing 9-12 sample lines and printed pages of a book titled Soundarya Lahari writtenin Grantha by Sri Adi Shankara to recognize the words and sentences. The manuscript recognition rates with the system are for Grantha as 92.11\%, Old Malayalam 90.82\% and for new Malayalam script 89.56\%. The recognition rates of pages of the printed book are for Grantha as 96.16\%, Old Malayalam script 95.22\% and new Malayalam script as 92.32\% respectively. These results show the efficiency of the developed system.
@article{IJACSA.2012.030709,
abstract = {This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malayalam. A framework for the recognition of Grantha script using online character recognition is designed and implemented. The features extracted from the Grantha script comprises mainly of time-domain features based on writing direction and curvature. The recognized characters are mapped to corresponding Malayalam characters. The framework was tested on a bed of medium length manuscripts containing 9-12 sample lines and printed pages of a book titled Soundarya Lahari writtenin Grantha by Sri Adi Shankara to recognize the words and sentences. The manuscript recognition rates with the system are for Grantha as 92.11\%, Old Malayalam 90.82\% and for new Malayalam script 89.56\%. The recognition rates of pages of the printed book are for Grantha as 96.16\%, Old Malayalam script 95.22\% and new Malayalam script as 92.32\% respectively. These results show the efficiency of the developed system.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Sreeraj M}, Sumam Mary Idicula},
biburl = {https://www.bibsonomy.org/bibtex/262f639acda351ad444e6c56a2cde63a5/thesaiorg},
interhash = {a802fd4cee301213c5cda079923cbc50},
intrahash = {62f639acda351ad444e6c56a2cde63a5},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {Grantha Malayalam; Online character recognition scripts; system.},
number = 7,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{An Online Character Recognition System to Convert Grantha Script to Malayalam}},
url = {http://ijacsa.thesai.org/},
volume = 3,
year = 2012
}