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Off-line handwritten Thai characters from word script
Author(s)
Airphaiboon, Suraphun
Sangworasil, Manas
Kondo, Shozo
Date Issued
January 1, 1994
Type
Conference Paper
Abstract
This paper proposes a recognition method of off-line handwritten Thai characters from word scripts. Firstly a new method on line level separation of Thai words are proposed. Loop structure is used to classify 4 groups of characters. Secondly by using topological properties of strokes and other Thai character's structural features, decision trees are constructed. Finally a recognition experiment is presented in which 100 copies of handwritten Thai words written by 10 persons are tested. Recognition rate is 99.0% and recognition time is 0.5 second per character.
Citation
Proceedings International Conference on Pattern Recognition, 2, 445-449, 1994