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Study of the Pre-processing Impact in a Facial Recognition System

  • Guillermo Calvo
  • Bruno Baruque
  • Emilio Corchado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8073)

Abstract

The present work is a study of the influence of the preprocessing stage on the classification performance of a face recognition analysis. To carry out this task have made tests in a full FRS, evaluating each of its four stages and including several advanced alternatives in preprocessing, such as illumination normalization through the Discrete Cosine Transformation or alignment by Enhanced Correlation Coefficient, among others. The main goal of this work is determining how those different preprocessing alternatives interact with each other and in wich degree they affect the overall Facial Recognition Systems (FRS). The tests make a special emphasis in using images that could have been obtained from a real environment, rather than at a lab environment, with the difficulties that this brings for facial recognicion techniques.

Keywords

Face Recognition Preprocessing Normalization Alignment ECC DCT 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Guillermo Calvo
    • 1
  • Bruno Baruque
    • 1
  • Emilio Corchado
    • 2
  1. 1.Department of Civil EngineeringUniversity of BurgosSpain
  2. 2.Department of Computer Sciences and AutomaticUniversity of SalamancaSpain

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