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
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;
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.1993.320541
