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A Classifier Ensemble for Face Recognition Using Gabor Wavelet Features

  • Hamid Parvin
  • Nasser Mozayani
  • Akram Beigi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6694)

Abstract

Gabor wavelet-based methods have been proven that are useful in many problems including face detection. It has been shown that these features tackle well facing into image recognition. In image identification, while there is a number of human faces in a repository of employees, it is aimed to identify the face of an arrived employee is which one? So the application of gabor wavelet-based features is reasonable. We propose a weighted majority average voting classifier ensemble to handle the problem. We show that the proposed mechanism works well in an employees’ repository of our laboratory.

Keywords

Classifier Ensemble Gabor Wavelet Features Face Recognition Image Processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hamid Parvin
    • 1
  • Nasser Mozayani
    • 1
  • Akram Beigi
    • 1
  1. 1.School of Computer EngineeringIran University of Science and Technology (IUST)TehranIran

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