Principle component analysis and its variants for biometrics.

Tsuhan Chen Yufeng Jessie Hsu Xiaoming Liu Wende Zhang

Published in: ICIP (1) (2002)

Keyphrases

principle component analysis
independent component analysis
dimension reduction
face recognition
feature extraction
lower dimensional
svm classifier

covariance matrix
random projections
pattern recognition
feature space
principal component analysis
independent components
principal components analysis

high dimensional feature space
principal components
singular value decomposition
iris recognition
subspace methods
original data
data sets

signal processing
support vector machine
kernel pca
high dimensional
computer vision
machine learning