Result: When uncorrelated linear discriminant analysis are combined with wavelets

Title:
When uncorrelated linear discriminant analysis are combined with wavelets
Authors:
XUE CAO, YANG, Jing-Yu
Source:
Intelligent computing in signal processing and pattern recognition (International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006)0ICIC 2006. :556-565
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Documentation, Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse discriminante, Discriminant analysis, Análisis discriminante, Base donnée, Database, Base dato, Extraction forme, Pattern extraction, Extracción forma, Faciès, Facies, Haute résolution, High resolution, Alta resolucion, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Reconnaissance visage, Face recognition, Résolution image, Image resolution, Resolución imagen, Traitement image, Image processing, Procesamiento imagen, Transformation ondelette, Wavelet transformation, Transformación ondita
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China
ISSN:
0170-8643
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18315873
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18315873
Database:
PASCAL Archive

Further Information

This paper presents a novel and interesting combination of uncorrelated linear discriminant analysis and wavelets to extract features for face recognition. The proposed algorithm when compared with conventional Fisherface method and ULDA+PCA method has an improved recognition rate and a decrease of computational load for face images with high resolutions. In the proposed technique, the face images are divided into smaller sub-images by 2-D DWT and the uncorrelated linear discriminant analysis is applied to approximations sub-images. The time-cost of the proposed method is greatly reduced and recognition rates ranging between 95% and 97.5% are obtained on the ORL database. An average error rate of 1.4% is obtained with the experiments on the NUST603 database. In addition, the effect of number of discriminant vectors on the recognition system is systematically discussed.