Improving Spider Recognition Based on Biometric Web Analysis

  • Carlos M. Travieso Gonzalez
  • Jaime Roberto Ticay-Rivas
  • Marcos del Pozo-Baños
  • William G. Eberhard
  • Jesús B. Alonso-Hernández
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)


This work presents an improvement of the automatic and supervised spider identification approach based on biometric spider web analysis. We have used as feature extractor, a Joint Approximate Diagonalization of Eigen-matrixes Independent Component Analysis applying to a binary image with a reduced size (20×20 pixels) from the colour original image. Finally, we have applied a least square support vector machine as classifier, reaching over 98.15% in our hold-50%-out validation. This system is making easier Biologists’ tasks in this field, because they can have a second opinion or have a tool for this work.


Spider webs spider classification independent component analysis support vector machine 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Carlos M. Travieso Gonzalez
    • 1
  • Jaime Roberto Ticay-Rivas
    • 1
  • Marcos del Pozo-Baños
    • 1
  • William G. Eberhard
    • 2
  • Jesús B. Alonso-Hernández
    • 1
  1. 1.Signals and Communications Department, Institute for Technological Development and Innovation in CommunicationsUniversity of Las Palmas de Gran CanariaLas Palmas de Gran CanariaSpain
  2. 2.Smithsonian Tropical Research Institute and Escuela de BiologiaUniversidad de Costa Rica, Ciudad UniversitariaCosta Rica

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