Skip to main content


  • Research Article
  • Open Access

Feature Extraction Methods for Real-Time Face Detection and Classification

EURASIP Journal on Advances in Signal Processing20052005:531492

  • Received: 22 December 2003
  • Published:


We propose a complete scheme for face detection and recognition. We have used a Bayesian classifier for face detection and a nearest neighbor approach for face classification. To improve the performance of the classifier, a feature extraction algorithm based on a modified nonparametric discriminant analysis has also been implemented. The complete scheme has been tested in a real-time environment achieving encouraging results. We also show a new boosting scheme based on adapting the features to the misclassified examples, achieving also interesting results.

Keywords and phrases

  • face detection
  • face recognition
  • boosting
  • feature extraction

Authors’ Affiliations

Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain


© David Masip et al. 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.