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 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 kNearest Neighbor and Conditional Random Fields. The accuracy of recognition rate is about 82.61 percent.

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