Iris Recognition Using Curvelet Transform Based on Principal Component Analysis and Linear Discriminant Analysis.
Jie SunZhe-Ming LuLijian ZhouPublished in: J. Inf. Hiding Multim. Signal Process. (2014)
Keyphrases
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- dimensionality reduction
- iris recognition
- dimension reduction
- face recognition
- small sample size
- feature extraction
- denoising
- discriminant features
- independent component analysis
- support vector
- fisher criterion
- feature space
- low dimensional
- discriminative information
- principal components
- rotation invariant
- null space
- linear discriminant
- high dimensional data
- lower dimensional
- covariance matrix
- support vector machine svm
- principal components analysis
- face images
- scatter matrix
- subspace projection
- subspace methods
- class separability
- kernel pca
- subspace learning
- pca lda
- pattern recognition
- feature vectors
- scatter matrices
- feature reduction
- multiresolution analysis
- input image
- machine learning