Title :
An expert system for recognizing hand-written Chinese characters
Author :
Kam-Ming Ku ; Chiu, P.P.K.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
Chinese characters are highly structural such that a syntactical approach for recognition is suitable. For hand-written characters, such an approach experiences problems because of writing style variability. An expert system with machine learning is proposed for the recognition of Chinese characters. The authors adopted concept learning in their system which is intended to tackle the problems such as mutual similarities of characters.<>
Keywords :
character recognition; expert systems; learning (artificial intelligence); concept learning; expert system; hand-written Chinese characters; machine learning; mutual similarities; writing style variability; Character recognition; Dictionaries; Expert systems; Spatial databases; Writing;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320543
