Analyzing Wavelets Components to Perform Face Recognition

  • Pedro Isasi
  • Manuel Velasco
  • Javier Segovia
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)


Face recognition is a very difficult task in real environments. In those cases a good preprocessing of the images is needed to keep the images invariant to translations, scales, luminosity, shape, aspect, rotation, noise, etc ... Wavelet transformation have been probed to be a good preprocessing method for many task. However, not all the coefficients of a wavelet transform have the information needed for a classification method to be efficient. This work introduce a method to select the most appropriate coefficients for a wavelet transform to allow an unsupervised neural network to well classify a set of complex faces.


Face Recognition Wavelet Transformation Entropy Module Competitive Layer Automatic Face 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Pedro Isasi
    • 1
  • Manuel Velasco
    • 1
  • Javier Segovia
    • 2
  1. 1.Departamento de InformticaUniversidad Carlos IIILeganes
  2. 2.Departamento de Lenguajes y Sistemas InformticosFacultad de Informtica U.P.MBoadilla del Monte

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