Soft Computing for Recognition Based on Biometrics

  • Patricia Melin
  • Janusz Kacprzyk
  • Witold Pedrycz

Part of the Studies in Computational Intelligence book series (SCI, volume 312)

Table of contents

  1. Front Matter
  2. Classification Algorithms and Applications

    1. Front Matter
      Pages 1-1
    2. Carlos A. Reyes-Garcia, Orion F. Reyes-Galaviz, Sergio D. Cano-Ortiz, Daniel I. Escobedo-Becerro, Ramón Zatarain, Lucia Barrón-Estrada
      Pages 3-18
    3. Juan Manuel Ramirez-Cortes, Pilar Gomez-Gil, Vicente Alarcon-Aquino, Jesus Gonzalez-Bernal, Angel Garcia-Pedrero
      Pages 19-35
    4. Christian Romero, Mario Garcia-Valdez, Arnulfo Alanis
      Pages 57-72
    5. Victor J. Sosa-Sosa, Ivan Lopez-Arevalo, Omar Jasso-Luna, Hector Fraire-Huacuja
      Pages 73-82
  3. Pattern Recognition

  4. Optimization Methods

    1. Front Matter
      Pages 189-189
    2. Marco Aurelio Sotelo-Figueroa, Rosario Baltazar, Martín Carpio
      Pages 191-206
    3. Jose A. Ruz-Hernandez, Ruben Salazar-Mendoza, Guillermo Jimenez de la C., Ramon Garcia-Hernandez, Evgen Shelomov
      Pages 207-224
    4. Claudia Gómez Santillán, Laura Cruz Reyes, Elisa Schaeffer, Eustorgio Meza, Gilberto Rivera Zarate
      Pages 245-265
    5. Francisco Eduardo Gosch Ingram, Guadalupe Castilla Valdez, Héctor Joaquín Fraire Huacuja
      Pages 267-276

About this book


We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algo-rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject.


Computational Intelligence Recognition Soft Computing algorithms biometrics classification cognition computer vision fuzzy logic image analysis intelligence neural networks optimization pattern recognition

Editors and affiliations

  • Patricia Melin
    • 1
  • Janusz Kacprzyk
    • 2
  • Witold Pedrycz
    • 3
  1. 1.Tijuana Institute of TechnologyChula VistaUSA
  2. 2.Polish Academy of SciencesWarsawPoland
  3. 3.University of AlbertaEdmontonCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-15110-1
  • Online ISBN 978-3-642-15111-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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