The New Face Recognition Technique With the use of PCA and LDA.
Seyed Zeinolabedin MoussaviSaeedreza EhteramAli SadrPublished in: J. Convergence Inf. Technol. (2008)
Keyphrases
- face recognition
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- face images
- principal components analysis
- pca lda
- feature extraction
- gabor features
- dimensionality reduction
- recognition rate
- principle component analysis
- subspace methods
- face databases
- recognition accuracy
- small sample size
- orl face
- dimension reduction
- sparse representation
- linear discriminate analysis
- human faces
- kernel pca
- recognizing faces
- scatter matrix
- computer vision
- principal components
- facial images
- local binary pattern
- high dimensional data
- face recognition systems
- null space
- facial expressions
- method for face recognition
- orl face database
- nonparametric discriminant analysis
- face representation and recognition
- face recognition algorithms
- low dimensional
- locality preserving projections
- linear subspace
- fisher linear discriminant
- kernel principal component analysis
- independent component analysis
- singular value decomposition
- covariance matrix
- gabor filters
- support vector
- support vector machine svm
- linear dimensionality reduction
- fisher criterion
- subspace analysis
- face representation
- discriminating power