Adam Schmidt

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

Adam Schmidt

In: Computer Recognition Systems 3

Series: Advances in Soft Computing

Vol.: 57

Year: 2009

Pages: 95--102

Publisher: Springer Berlin / Heidelberg

Publisher's page: http://www.springerlink.com/content/721v23700h444161/

Abstract:

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.