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Introduction to Pattern Recognition with Intelligent Systems

  • Patricia Melin
  • Oscar Castillo
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 172)

Abstract

We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. Combining SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. We consider in this book “intelligent pattern recognition] as the use of SC techniques to solve pattern recognition problems in real-world applications. We consider in particular the problems of face, fingerprint and voice recognition. We also consider the problem of recognizing a person by integrating the information given by the face, fingerprint and voice of the person.

Keywords

Genetic Algorithm Fuzzy Logic Face Recognition Fuzzy System Voice Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  • Patricia Melin
    • 1
  • Oscar Castillo
    • 2
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA

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