Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition

Khalid Chougdali; Mohamed Jedra; Nouredine Zahid

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition

In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 183-188, 2007 , Funchal, Madeira, Portugal

Authors: Khalid Chougdali ; Mohamed Jedra and Nouredine Zahid

Affiliation: Laboratory of conception and systems, Faculty of Science Agdal, Morocco

Abstract: In this work, we propose an efficient face recognition system which has two steps. Firstly we take 2D wavelet coefficients as a representation of faces images. Secondly, for recognition module we present a new variant on Linear Discriminant Analysis (LDA). This algorithm combines the advantages of the recent LDA enhancements namely relevance weighted LDA and QR decomposition matrix analysis. Experiments on two well known facial databases show the effectiveness of the proposed method. Comparisons with other LDA-based methods show that our method improves the LDA classification performance.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.17.79.60

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Chougdali, K.; Jedra, M. and Zahid, N. (2007). Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition. In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS; ISBN 978-972-8865-93-1, SciTePress, pages 183-188. DOI: 10.5220/0002413601830188

@conference{pris07,
author={Khalid Chougdali. and Mohamed Jedra. and Nouredine Zahid.},
title={Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS},
year={2007},
pages={183-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002413601830188},
isbn={978-972-8865-93-1},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (ICEIS 2007) - PRIS
TI - Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition
SN - 978-972-8865-93-1
AU - Chougdali, K.
AU - Jedra, M.
AU - Zahid, N.
PY - 2007
SP - 183
EP - 188
DO - 10.5220/0002413601830188
PB - SciTePress