Skip to main content
  • Research Article
  • Open access
  • Published:

Feature Extraction Methods for Real-Time Face Detection and Classification


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.

Author information

Authors and Affiliations


Corresponding author

Correspondence to David Masip.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Masip, D., Bressan, M. & Vitrià, J. Feature Extraction Methods for Real-Time Face Detection and Classification. EURASIP J. Adv. Signal Process. 2005, 531492 (2005).

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI:

Keywords and phrases