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Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System

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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

This Chapter consists in two parts; first we are presenting the methodology to develop a GT2 fuzzy edge detection method, and in this proposed method we are including the low-pass and high-pass filters. Secondly, the fuzzy edge detector is applied on a face recognition system using a monolithic Neural Network.

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Authors and Affiliations

  1. School of Engineering, University of Baja California, Tijuana, Baja California, Mexico

    Claudia I. Gonzalez & Juan R. Castro

  2. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin & Oscar Castillo

Authors
  1. Claudia I. Gonzalez
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  2. Patricia Melin
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  3. Juan R. Castro
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  4. Oscar Castillo
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Corresponding author

Correspondence to Claudia I. Gonzalez .

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Gonzalez, C.I., Melin, P., Castro, J.R., Castillo, O. (2017). Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System. In: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-53994-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-53994-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53993-5

  • Online ISBN: 978-3-319-53994-2

  • eBook Packages: EngineeringEngineering (R0)

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