Title :
Partial matching in fuzzy image recognition
Author :
Ribeiro, Rita A. ; Baldwin, J.F.
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
fDate :
30 Sep-2 Oct 1991
Abstract :
The problem of how to build expert systems for recognizing vague or incomplete images is addressed. The focus is on the partial match and estimation of supports, per degree of similarity, of each possible option. Two methods were used: a voting model interpretation of fuzzy sets to classify the objects, and the iterative assignment algorithm to obtain the support. To test the learning capabilities of this approach, an example of upper case letters was implemented
Keywords :
computerised pattern recognition; computerised picture processing; expert systems; fuzzy set theory; learning systems; expert systems; fuzzy image recognition; fuzzy sets; iterative assignment algorithm; learning capabilities; partial matching; voting model interpretation; Expert systems; Fuzzy sets; Humans; Image recognition; Iterative methods; Mathematics; Pattern matching; Testing; US Department of Transportation; Voting;
Conference_Titel :
Developing and Managing Expert System Programs, 1991., Proceedings of the IEEE/ACM International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-2250-4
DOI :
10.1109/DMESP.1991.171771
