Robust Face Recognition using Minimax Probability Machine

Publication Type

Conference Proceeding Article

Publication Date

6-2004

Abstract

Face recognition has been widely explored. Many techniques have been applied in various applications. Robustness and reliability become more and more important for these applications especially, in security systems. A new face recognition approach is proposed based on a state-of-the-art classification technique called minimax probability machine (MPM). Engaging the binary MPM technique, we present a multi-class MPM classification for robust face recognition. In experiments, we compare our MPM-based face recognition algorithm with traditional techniques, including neural network and support vector machine. The experimental results show that the MPM-based face recognition technique is competitive and promising for robust face recognition

Keywords

face recognition, image classification, minimax techniques, probability

Discipline

Computer Sciences | Databases and Information Systems

Publication

International Conference on Multimedia and Expo ICME 2004: June 27-30, 2004, Taipei, Taiwan: Proceedings

First Page

1175

Last Page

1178

ISBN

9780780386037

Identifier

10.1109/ICME.2004.1394428

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

http://dx.doi.org/10.1109/ICME.2004.1394428

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