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Fuzzy Associative Database for multiple planar object recognition

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3 Author(s)
Shahed Shahir ; Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada ; Xiang Chen ; Ahmadi, M.

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.

Published in:

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on  (Volume:5 )

Date of Conference:

25-28 May 2003