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SINOBIOMETRICS
2004
Springer
13 years 11 months ago
Component-Based Cascade Linear Discriminant Analysis for Face Recognition
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
Wenchao Zhang, Shiguang Shan, Wen Gao, Yizheng Cha...
JCIT
2008
117views more  JCIT 2008»
13 years 6 months ago
The New Face Recognition Technique With the use of PCA and LDA
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
Seyed Zeinolabedin Moussavi, Saeedreza Ehteram, Al...
IPCV
2008
13 years 7 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
BIOID
2011
291views Biometrics» more  BIOID 2011»
12 years 9 months ago
Local Binary LDA for Face Recognition
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from imag...
Ivan Fratric, Slobodan Ribaric
CVPR
2004
IEEE
14 years 8 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang