Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields
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...
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th-cmuir.6653943832-386962015-06-16T07:53:58Z Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields Chueaphun,C. Klomsae,A. Marukatat,S. Chaijaruwanich,J. 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. Copyright © 2012 SciTePress - Science and Technology Publications. 2015-06-16T07:53:58Z 2015-06-16T07:53:58Z 2012-12-01 Conference Paper 2-s2.0-84881534939 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84881534939&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38696 |
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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. Copyright © 2012 SciTePress - Science and Technology Publications. |
format |
Conference or Workshop Item |
author |
Chueaphun,C. Klomsae,A. Marukatat,S. Chaijaruwanich,J. |
spellingShingle |
Chueaphun,C. Klomsae,A. Marukatat,S. Chaijaruwanich,J. Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
author_facet |
Chueaphun,C. Klomsae,A. Marukatat,S. Chaijaruwanich,J. |
author_sort |
Chueaphun,C. |
title |
Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
title_short |
Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
title_full |
Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
title_fullStr |
Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
title_full_unstemmed |
Lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
title_sort |
lanna dharma printed character recognition using k-nearest neighbor and conditional random fields |
publishDate |
2015 |
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http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84881534939&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38696 |
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