Title :
Modular Neural Networks and Type-2 Fuzzy Logic for Face Recognition
Author :
Mendoza, Olivia ; Licea, Guillermo ; Melin, Patricia
Author_Institution :
Univ. Autonoma de Baja California, Tijuana
Abstract :
In this paper we present a method for face recognition combining modular neural networks and two interval type-2 fuzzy inference systems (FIS 2) for face recognition. The first FIS 2 is used for edges detection in the training data, and the second one to find the ideal parameters for the Sugeno integral as a decision operator. Fuzzy logic is shown to be a tool that can help improve the results of a neural system facilitating the representation of the human perception.
Keywords :
edge detection; face recognition; fuzzy logic; inference mechanisms; integral equations; neural nets; Sugeno integral; edge detection; face recognition; fuzzy logic; modular neural networks; type-2 fuzzy inference systems; Convolution; Detectors; Face recognition; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Image edge detection; Image recognition; Neural networks; Pixel;
Conference_Titel :
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-1213-7
Electronic_ISBN :
1-4244-1214-5
DOI :
10.1109/NAFIPS.2007.383912
