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Authors: Chutima Chueaphun 1 ; Atcharin Klomsae 1 ; Sanparith Marukatat 2 and Jeerayut Chaijaruwanich 1

Affiliations: 1 Chiang Mai University, Thailand ; 2 National Electronics and Computer Technology Center, Thailand

Keyword(s): Lanna Dharma, Character Recognition, k-Nearest Neighbor, Conditional Random Fields.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: For centuries, in the North of Thailand, many books of Lanna Dharma characters had been printed. These books are the important sources of the knowledge of ancient Lanna wisdom. At present, the books are found old and damaged. Most of characters are rough and not clear according to its early printing technology at that time. Moreover, some sets of characters are relatively very similar which cause the difficulty to recognize them. This paper proposes a Lanna Dharma printed character recognition technique using k-Nearest Neighbor and Conditional Random Fields. The accuracy of recognition rate is about 82.61 percent.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Chueaphun, C.; Klomsae, A.; Marukatat, S. and Chaijaruwanich, J. (2012). Lanna Dharma Printed Character Recognition using k-Nearest Neighbor and Conditional Random Fields. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 169-174. DOI: 10.5220/0004112801690174

@conference{kdir12,
author={Chutima Chueaphun. and Atcharin Klomsae. and Sanparith Marukatat. and Jeerayut Chaijaruwanich.},
title={Lanna Dharma Printed Character Recognition using k-Nearest Neighbor and Conditional Random Fields},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR},
year={2012},
pages={169-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004112801690174},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - Lanna Dharma Printed Character Recognition using k-Nearest Neighbor and Conditional Random Fields
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Chueaphun, C.
AU - Klomsae, A.
AU - Marukatat, S.
AU - Chaijaruwanich, J.
PY - 2012
SP - 169
EP - 174
DO - 10.5220/0004112801690174
PB - SciTePress