In this paper, we present the advantage of using a general type-2 fuzzy edge detector method in the preprocessing phase of a face recognition system. The Sobel and Prewitt edge detectors combined with GT2 FSs are considered in this work. In our approach, the main idea is to apply a general type-2 fuzzy edge detector on two image databases to reduce the size of the dataset to be processed in a face recognition system. The recognition rate is compared using different edge detectors including the fuzzy edge detectors (type-1 and interval type-2 FS) and the traditional Prewitt and Sobel operators.
CITATION STYLE
Gonzalez, C. I., Melin, P., Castro, J. R., Mendoza, O., & Castillo, O. (2017). General Type-2 fuzzy edge detection in the Preprocessing of a face recognition system. In Studies in Computational Intelligence (Vol. 667, pp. 3–18). Springer Verlag. https://doi.org/10.1007/978-3-319-47054-2_1
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