Empirical Mode Decomposition-based Face Recognition System

Esteve Gallego-Jutglà, Karmele López-de-Ipiña, Pere Martí-Puig, Jordi Solé-Casals

2013

Abstract

In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the image and the modes of the representative image of each class is calculated using three different distance measures. Then, a neural network is trained using 10- fold cross validation in order to derive a classifier. Preliminary results (over 98 % of classification rate) are satisfactory and will justify a deep investigation on how to apply mEMD for face recognition.

Paper Citation

in Harvard Style

Gallego-Jutglà E., López-de-Ipiña K., Martí-Puig P. and Solé-Casals J. (2013). Empirical Mode Decomposition-based Face Recognition System . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 445-450. DOI: 10.5220/0004359104450450

in Bibtex Style

@conference{mpbs13,
author={Esteve Gallego-Jutglà and Karmele López-de-Ipiña and Pere Martí-Puig and Jordi Solé-Casals},
title={Empirical Mode Decomposition-based Face Recognition System},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2013)},
year={2013},
pages={445-450},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004359104450450},
isbn={978-989-8565-36-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2013)
TI - Empirical Mode Decomposition-based Face Recognition System
SN - 978-989-8565-36-5
AU - Gallego-Jutglà E.
AU - López-de-Ipiña K.
AU - Martí-Puig P.
AU - Solé-Casals J.
PY - 2013
SP - 445
EP - 450
DO - 10.5220/0004359104450450