DocumentCode
2045605
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
Volume
4
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
510
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/TENCON.1993.320543
Filename
320543
Link To Document