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North American Fuzzy Information Processing Society Annual Conference

NAFIPS 2017: Fuzzy Logic in Intelligent System Design pp 172–180Cite as

Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 648))

Abstract

In this paper an optimization approach with genetic algorithms for a deep neural network is applied. We optimize some parameters for the deep neural network that allowed optimize the results of the recognition of persons, like the number of neurons in the first and second hidden layer, and others. We work with the human iris like the biometric measure for the recognition of persons. Before give like input the human iris images to the deep neural network, pre-processing methods for eliminate the noise around the iris are applied. The proposed optimization allowed to the deep neural network increase the performance of recognition.

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Author information

Authors and Affiliations

  1. Autonomous University of Chihuahua, Chihuahua, Chih, Mexico

    Fernando Gaxiola

  2. Tijuana Institute of Technology, Tijuana, BC, Mexico

    Patricia Melin & Fevrier Valdez

  3. Autonomous University of Baja California, Tijuana, BC, Mexico

    Juan R. Castro

Authors
  1. Fernando Gaxiola
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  2. Patricia Melin
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  3. Fevrier Valdez
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  4. Juan R. Castro
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Corresponding author

Correspondence to Fernando Gaxiola .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

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

    Oscar Castillo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Reformat

  5. Laboratory of Computational Intelligence and Automation, University of Waterloo, Waterloo, Ontario, Canada

    William Melek

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© 2018 Springer International Publishing AG

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Cite this paper

Gaxiola, F., Melin, P., Valdez, F., Castro, J.R. (2018). Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-67137-6_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67136-9

  • Online ISBN: 978-3-319-67137-6

  • eBook Packages: EngineeringEngineering (R0)

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