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

  • Fernando GaxiolaEmail author
  • Patricia Melin
  • Fevrier Valdez
  • Juan R. Castro
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Genetic algorithm Deep neural network Person recognition Human iris 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Fernando Gaxiola
    • 1
    Email author
  • Patricia Melin
    • 2
  • Fevrier Valdez
    • 2
  • Juan R. Castro
    • 3
  1. 1.Autonomous University of ChihuahuaChihuahuaMexico
  2. 2.Tijuana Institute of TechnologyTijuanaMexico
  3. 3.Autonomous University of Baja CaliforniaTijuanaMexico

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