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On the Relevance of Facial Expressions for Biometric Recognition

  • Marcos Faundez-Zanuy
  • Joan Fabregas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5042)

Abstract

Biometric face recognition presents a wide range of variability sources, such as make up, illumination, pose, facial expression, etc. In this paper we use the Japanese Female Facial Expression Database (JAFFE) in order to evaluate the influence of facial expression in biometric recognition rates. In our experiments we used a nearest neighbor classifier with different number of training samples, different error criteria, and several feature extractions. Our experimental results reveal that some facial expressions produce a recognition rate drop, but the optimal length of the feature extracted vectors is the same with the presence of facial expressions than with neutral faces.

Keywords

Facial Expression Face Recognition Discrete Cosine Transform Mean Absolute Difference Biometric System 
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 2008

Authors and Affiliations

  • Marcos Faundez-Zanuy
    • 1
  • Joan Fabregas
    • 1
  1. 1.Escola Universitària Politècnica de Mataró (Adscrita a la UPC)MATARO (BARCELONA)Spain

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