UM
Bionic face recognition using Gabor transformation
He G.; Tang Y.; Zhang T.
2010-12-01
Source Publication2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
Pages1032-1036
AbstractIn order to overcome the shortcomings of Principal Component Analysis (PCA) and bionic methods in feature extracting and dimension reduction, a method for extracting Gabor features of face images based on Gabor wavelet is presented. First, Gabor features are extracted from face images. After reduced by 2DPCA algorithm, the features are reduced further by rough set. Then the nearest classifier is trained for classification. The experiments being performed on Yale Face Database B human face image database show the method presented in this paper is superior to that of bionic recognition algorithm and PCA algorithm. ©2010 IEEE.
Keyword2D PCA Bionic face recognition Gabor transformation
DOI10.1109/CCPR.2010.5659266
URLView the original
Language英語
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
AffiliationChongqing University
Recommended Citation
GB/T 7714
He G.,Tang Y.,Zhang T.. Bionic face recognition using Gabor transformation[C],2010:1032-1036.
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
[He G.]'s Articles
[Tang Y.]'s Articles
[Zhang T.]'s Articles
Baidu academic
Similar articles in Baidu academic
[He G.]'s Articles
[Tang Y.]'s Articles
[Zhang T.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[He G.]'s Articles
[Tang Y.]'s Articles
[Zhang T.]'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.