NDLI: Face recognition based on constructive neural networks covering learning algorithm

Content Provider	IEEE Xplore Digital Library
Author	Huang Guohong Xiong Zhihua Shao Huihe
Copyright Year	2005
Description	Author affiliation: Inst. of Autom., Shanghai Jiao Tong Univ., China (Huang Guohong; Xiong Zhihua; Shao Huihe)
Abstract	A general and efficient design approach using covering neural classifier to cope with the high-dimensional and small sample size problem is proposed. For alleviating the computational burden, face features are first extracted by the principal component analysis (PCA). In order to avoid the influence of outlier classes and reduce the large overlapping of neighboring classes, a new weighted Fisher linear discriminant (WFLD) criterion is presented by weighting contributions of individual class pairs according to the Euclidian distance of the respective class means. A new learning algorithm is used to train the neural networks classifier, which uses the "sphere neighborhoods" to cover the input samples and draw up their distributions in the original space. Thus, the training problem of neural networks may be transformed into the covering problem of a point set, which avoids the iterative process, and overcomes the problem of longtime training of classical neural networks. Simulation results conducted on the ORL database show that the system achieves excellent performance both in terms of error rates of classification and learning efficiency.
Sponsorship	American Automatic Control Council
Starting Page	1739
Ending Page	1744
File Size	240214
Page Count	6
File Format	PDF
ISBN	0780390989
ISSN	07431619
e-ISBN	0780390997
DOI	10.1109/ACC.2005.1470219
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Face recognition Neural networks Feature extraction Principal component analysis Shape measurement Data mining Backpropagation algorithms Automation Position measurement Lighting
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A method of 3D face recognition based on principal component analysis algorithm

A method of face recognition using 3D images

PCA, LDA and neural network for face identification

New Image Fusion-Based Algorithm to Face Recognition

Face recognition methods based on principal component analysis and feedforward neural networks

Centroid neural network for face recognition

Novel face recognition approach based on steerable pyramid feature extraction

An iris recognition method based on 2DWPCA and neural network

Face recognition method by using large and representative datasets

Face recognition based on constructive neural networks covering learning algorithm

Similar Documents

A method of 3D face recognition based on principal component analysis algorithm

A method of face recognition using 3D images

PCA, LDA and neural network for face identification

New Image Fusion-Based Algorithm to Face Recognition

Face recognition methods based on principal component analysis and feedforward neural networks

Centroid neural network for face recognition

Novel face recognition approach based on steerable pyramid feature extraction

An iris recognition method based on 2DWPCA and neural network

Face recognition method by using large and representative datasets

Face recognition based on constructive neural networks covering learning algorithm