Curvelet-based feature extraction with B-LDA for face recognition.
Mohamed El AroussiSanaa GhouzaliMohammed El HassouniMohammed RzizaDriss AboutajdinePublished in: AICCSA (2009)
Keyphrases
- face recognition
- feature extraction
- linear discriminant analysis
- discriminant analysis
- face images
- principal component analysis
- recognition rate
- dimension reduction
- local binary pattern
- denoising
- recognition accuracy
- feature representation
- human faces
- dimensionality reduction
- small sample size
- face detection
- preprocessing
- gabor features
- facial images
- feature vectors
- face databases
- rotation invariant
- computer vision
- subspace methods
- gabor wavelets
- feature analysis
- pca lda
- image processing
- sparse representation
- image classification
- texture analysis
- fisher criterion
- locality preserving projections
- multiresolution analysis
- pattern recognition
- feature space
- high dimensional
- discriminant information
- wavelet transform
- face verification
- facial expressions
- support vector
- appearance based face recognition
- support vector machine svm
- manifold learning
- nonparametric discriminant analysis
- fisher linear discriminant
- probabilistic model
- extracted features
- feature set
- texture classification