Iris recognition using 2D-LDA + 2D-PCA.
Wen-Shiung ChenChi-An ChuanSheng-Wen ShihShun-Hsun ChangPublished in: ICASSP (2009)
Keyphrases
- linear discriminant analysis
- principal component analysis
- linear discriminate analysis
- face recognition
- dimensionality reduction
- discriminant analysis
- principal components analysis
- feature extraction
- pca lda
- dimension reduction
- subspace methods
- iris recognition
- principle component analysis
- gabor features
- subspace analysis
- small sample size
- feature space
- latent dirichlet allocation
- kernel principal component analysis
- principal components
- face images
- independent component analysis
- gabor wavelets
- iris images
- low dimensional
- high dimensional data
- support vector
- high dimensional
- topic models
- iris biometrics
- kernel pca
- dimensionality reduction methods
- negative matrix factorization
- covariance matrix
- singular value decomposition
- discriminant information
- scatter matrices
- fisher criterion
- linear dimensionality reduction
- pattern recognition
- support vector machine svm