Title :
Fuzzy Associative Database for multiple planar object recognition
Author :
Shahir, Shahed ; Xiang Chen ; Ahmadi, Majid
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
Abstract :
In this paper a comprehensive method for multiple planar object recognition is presented. For this purpose, a Fuzzy Associative Database (FAD) is developed. FAD consists of a Fuzzy Database (FD) and a Fuzzy Search Engine (FSE). FD holds the trained object information, as in human memory, and FSE performs as in brain, which processes incoming information based on information exists in memory, database. The FD includes two tables. The FSE uses table one to construct a Bank of Fuzzy Associative Memory Matrix (BFAMM) in order to conduct search over table two. In fact, the FSE establishes a correspondence between an object and one of the trained classes in table two of the FD.
Keywords :
content-addressable storage; fuzzy systems; object recognition; search engines; visual databases; bank of fuzzy associative memory matrix; fuzzy associative database; fuzzy database; fuzzy search engine; multiple planar object recognition; Associative memory; Databases; Design methodology; Electronic mail; Humans; Indexing; Object recognition; Pulp manufacturing; Shape; Transmission line matrix methods;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206435