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.
Cite
CITATION STYLE
Shahir, S., Chen, X., & Ahmadi, M. (2003). Fuzzy associative database for multiple planar object recognition. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 5). https://doi.org/10.1109/iscas.2003.1206435
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