Title :
The use of fuzzy graph grammars for recognising noisy two-dimensional images
Author_Institution :
Dept. of Comput. Sci., Rhodes Univ., Grahamstown, South Africa
Abstract :
The paper deals with a fuzzy syntactic approach to the interpretation of noisy two dimensional images. It reports on how we have modified the graph grammar formalism to utilise fuzzy functions in the applicability predicates. As far as we are aware, this represents the first such modification of graph grammars. The capabilities of this new formalism for coping with noise are currently being tested in the context of handwritten music score recognition and preliminary results are presented
Keywords :
fuzzy set theory; graph grammars; image recognition; music; applicability predicates; fuzzy functions; fuzzy graph grammars; fuzzy syntactic approach; graph grammar formalism; handwritten music score recognition; noisy two dimensional image recognition; Circuit noise; Computer science; Flowcharts; Image recognition; Mars; Noise level; Postal services; Production; Tail; Testing;
Conference_Titel :
Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
0-7803-3225-3
DOI :
10.1109/NAFIPS.1996.534770
