Off-line handwritten Thai characters from word script

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.