General Type-2 Fuzzy Edge Detection In The Preprocessing Of A Face Recognition System

NATURE-INSPIRED DESIGN OF HYBRID INTELLIGENT SYSTEMS(2017)

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摘要
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.
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关键词
General type-2 fuzzy logic, Alpha planes, Fuzzy edge detection, Pattern recognition systems, Neural networks
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