Feature extraction and classification using deep convolutional neural networks, PCA and SVC for face recognition.
Mohammed Kamel BenkaddourAbdennacer BounouaPublished in: Traitement du Signal (2017)
Keyphrases
- feature extraction and classification
- face recognition
- convolutional neural networks
- feature extraction
- principal component analysis
- principle component analysis
- face images
- texture classification
- local binary pattern
- convolutional network
- linear discriminant analysis
- face databases
- orl face
- discriminant analysis
- recognition rate
- dimension reduction
- gabor features
- dimensionality reduction
- facial expressions
- pattern recognition
- human faces
- recognition accuracy
- principal components analysis
- bitstream
- independent component analysis
- low dimensional
- kernel pca
- preprocessing
- feature space
- facial images
- principal components
- method for face recognition
- covariance matrix
- sparse representation
- texture analysis
- feature vectors
- object classification
- linear subspace
- support vector machine svm
- image classification
- vehicle detection
- coding scheme
- computer vision
- face detection
- high dimensional data
- feature set
- object detection
- training set
- image segmentation
- feature selection