Supachai TangwongsanOrawan JungthanawongMahidol University2018-07-122018-07-122008-12-01International Conference on Signal Processing Proceedings, ICSP. (2008), 1504-15072-s2.0-67249104966https://repository.li.mahidol.ac.th/handle/123456789/19108In this paper, it presents a very efficient recognition system for printed Thai characters. The major techniques are using structural features of stroke and setting production rules for classification. For the former, a technique is employed to re-order the character image components derived from skeleton of character image as based on Thai scripts and glyphs. In the latter, a set of production rules is established with a stroke patterns for character clustering and further for character classification. In this work, 12 clusters for Thai consonants, digits and special characters are grouped together, including 8 clusters for Thai vowel signs and tone marks. The proposed system is tested with over 1,000,000 Thai characters of multi-fonts and multi-sizes, the result shows that it could yield a very high accuracy rate in those tests of recognition. © 2008 IEEE.Mahidol UniversityComputer ScienceConference PaperSCOPUS10.1109/ICOSP.2008.4697418