Performance Evaluation of Face Recognition Based on PCA, LDA, ICA and Hidden Markov Model.
N. NallammalV. RadhaPublished in: ICDEM (2010)
Keyphrases
- hidden markov models
- face recognition
- pca lda
- principle component analysis
- linear discriminant analysis
- independent component analysis
- principal component analysis
- feature extraction
- discriminant analysis
- recognition rate
- human faces
- speech recognition
- face images
- dimension reduction
- scatter matrix
- face detection
- face databases
- independent components
- hidden states
- facial images
- computer vision
- sparse representation
- subspace methods
- facial expressions
- feature space
- svm classifier
- non stationary
- random sampling
- blind source separation
- support vector machine svm
- least squares
- pattern recognition