A New Combination of Local Appearance Based Methods for Face Recognition under Varying Lighting Conditions

  • Heydi Méndez-Vázquez
  • Edel García-Reyes
  • Yadira Condes-Molleda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)


This paper presents a different way of using DCT and LBP to com-pensate for illumination variations in face recognition with only one sample image per person. The sensitiveness to lighting variations of the LBP and DCT methods was investigated and from it emerged the proposed new method, consisting in discarding low-frequency DCT coefficients in the logarithm domain in a local way as a preprocessing step, and applying LBP method to represent the facial features. Experimental results on the Yale B database show that the proposal improves the performance of the original methods and their existing extensions.


local appearance based methods face recognition LBP DCT  illumination invariants 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Heydi Méndez-Vázquez
    • 1
  • Edel García-Reyes
    • 1
  • Yadira Condes-Molleda
    • 1
  1. 1.Pattern Recognition DepartmentAdvanced Technologies Application CenterSiboneyCuba

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