Title :
A fuzzy logic based handwritten numeral recognition expert system
Author :
Sadok, M.M. ; Alouani, A.T.
Author_Institution :
Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
We present a syntactic method for handwritten numeral recognition using the concept of fuzzy logic. We develop a fuzzy expert system that is capable of handling vagueness in describing each class of numerals. The proposed expert system consists of two main parts. First, the preprocessing part includes the feature extraction step that provides sufficient information to the inference engine. Second, the inference engine applies the suitable set of fuzzy rules and aggregates them towards the final decision. By imitating the human brain in its decision making process, the proposed system was implemented using a small set of rules. It also exhibits robustness in handling uncertain information
Keywords :
character recognition; expert systems; feature extraction; fuzzy logic; fuzzy set theory; handwriting recognition; inference mechanisms; uncertainty handling; decision making process; feature extraction step; fuzzy expert system; fuzzy logic based handwritten numeral recognition expert system; fuzzy rules; human brain; inference engine; preprocessing part; syntactic method; uncertain information handling; vagueness; Aggregates; Decision making; Engines; Expert systems; Feature extraction; Fuzzy logic; Fuzzy sets; Handwriting recognition; Humans; Hybrid intelligent systems;
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-7873-9
DOI :
10.1109/SSST.1997.581574
