The Comparison of Normal Bayes and SVM Classifiers in the Context of Face Shape Recognition

  • Adam Schmidt
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)


In this paper the face recognition system based on the shape information extracted with the Active Shape Model is presented. Three different classification approaches have been used: the Normal Bayes Classifier, the Type 1 Linear Support Vector Machine (LSVM) and the type 2 LSVM with a soft margin. The influence of the shape extraction algorithm parameters on the classification efficiency has been investigated. The experiments were conducted on a set of 3300 images of 100 people which ensures the statistical significance of the obtained results.


Face Recognition Recognition Rate Contour Point Linear Support Vector Machine Active Shape Model 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Adam Schmidt
    • 1
  1. 1.Institute of Control and Information EngineeringPoznan University of TechnologyPoznanPoland

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