DocumentCode
2045535
Title
The application of fuzzy grammar to handwritten character recognition
Author
Poon, J.C.H. ; Man, G.M.T. ; Chan, C.H.
Author_Institution
Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
Volume
4
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
502
Abstract
The main disadvantage of formal language theory applied to syntactic pattern recognition is that it is often too rigid to handle real patterns which are usually distorted or noisy. However, it is well known that the concept of vagueness can provide a convenient way for describing ill-defined patterns. In this paper, using handwritten character recognition as an example, we show that fuzzy language can be an effective tool for syntactic pattern recognition.<>
Keywords
formal languages; fuzzy logic; grammars; handwriting recognition; distorted patterns; formal language theory; fuzzy grammar; handwritten character recognition; ill-defined patterns; noisy patterns; syntactic pattern recognition; vagueness; Character recognition; Computer aided instruction; Formal languages; Fuzzy set theory; Fuzzy sets; Natural languages; Pattern recognition; Power generation; Production; Stochastic processes;
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.1993.320541
Filename
320541
Link To Document