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Printed thai character recognition using Fuzzy-Rough Sets
(2001-12-01)
Kasemsiri, Watjanapong
;
Kimpan, Chom
This paper proposes the method of using the Fuzzy-Rough Sets for the recognition of Thai Characters. In our work we divide the classification process into 2 levels, coarse and fine classification. Both levels of classification have the same processes, applying Rough Set's lower approximation and then using Fuzzy-Rough sets. The different point between those two levels is the features of inputted data used for classifying. There are 40 coarse groups and some of them need not to pass through the second level of classification. We trained this system with 2816 training samples, which composed of 4 fonts and 4 sizes characters. The system is tested with unknown sample, which composed of 7 fonts and 7 sizes characters, 4 fonts and 4 sizes of the training sample are inclusive. The accuracy of this proposed system is as high as 89%.