FACIAL IMAGE FEATURE EXTRACTION USING SUPPORT VECTOR MACHINES

H. Abrishami Moghaddam, M. Ghayoumi

2006

Abstract

In this paper, we present an approach that unifies sub-space feature extraction and support vector classification for face recognition. Linear discriminant, independent component and principal component analyses are used for dimensionality reduction prior to introducing feature vectors to a support vector machine. The performance of the developed methods in reducing classification error and providing better generalization for high dimensional face recognition application is demonstrated.

Paper Citation

in Harvard Style

Abrishami Moghaddam H. and Ghayoumi M. (2006). FACIAL IMAGE FEATURE EXTRACTION USING SUPPORT VECTOR MACHINES . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 480-485. DOI: 10.5220/0001363604800485

in Bibtex Style

@conference{visapp06,
author={H. Abrishami Moghaddam and M. Ghayoumi},
title={FACIAL IMAGE FEATURE EXTRACTION USING SUPPORT VECTOR MACHINES},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={480-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001363604800485},
isbn={972-8865-40-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - FACIAL IMAGE FEATURE EXTRACTION USING SUPPORT VECTOR MACHINES
SN - 972-8865-40-6
AU - Abrishami Moghaddam H.
AU - Ghayoumi M.
PY - 2006
SP - 480
EP - 485
DO - 10.5220/0001363604800485