Gabor Wavelets Transform and Extended Nearest Feature Space Classifier for Face Recognition
Jianke Zhu; Mang I Vai; Peng Un Mak
2004-12-01
Conference NameThird International Conference on Image and Graphics (ICIG'04)
Source PublicationProceedings - Third International Conference on Image and Graphics
Pages246-249
Conference Date18-20 Dec. 2004
Conference PlaceHong Kong, China
CountryChina
PublisherIEEE
Abstract

This paper proposes new hybrid approaches for face recognition. Gabor wavelets representation of face images is an effective approach for both facial action recognition and face identification. Perform dimensionality reduction and linear discriminant analysis on the downsampled Gabor waveletfaces can increase the discriminant ability. Nearest feature space is extended to various similarity measures. In our experiments, proposed Gabor waveletfaces combined with extended nearest feature space classifier shows very good performance, which can achieve 99 % maximum correct recognition rate on ORL data set without any preprocessing step. 

DOIhttps://doi.org/10.1109/ICIG.2004.71
URLView the original
Language英语
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
AffiliationDepartment of Electrical and Electronics Engineering, Faculty of Science and Technology University of Macau, Macau SAR, PR. China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Jianke Zhu,Mang I Vai,Peng Un Mak. Gabor Wavelets Transform and Extended Nearest Feature Space Classifier for Face Recognition[C]:IEEE,2004:246-249.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jianke Zhu]'s Articles
[Mang I Vai]'s Articles
[Peng Un Mak]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jianke Zhu]'s Articles
[Mang I Vai]'s Articles
[Peng Un Mak]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jianke Zhu]'s Articles
[Mang I Vai]'s Articles
[Peng Un Mak]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.