Fusion of PCA and FLD at Feature Extraction Level for Fingerspelling Recognition.
D. S. GuruM. G. SurajPublished in: IICAI (2007)
Keyphrases
- principal component analysis
- feature extraction
- fisher linear discriminant
- dimensionality reduction
- dimension reduction
- face recognition
- discriminant analysis
- face images
- principal components
- linear discriminant analysis
- feature fusion
- principle component analysis
- discriminant projection
- feature space
- independent component analysis
- covariance matrix
- low dimensional
- preprocessing
- lower dimensional
- feature selection
- principal components analysis
- image classification
- neural network
- support vector machine svm
- image processing
- gabor features
- wavelet transform
- data fusion
- multi sensor
- face databases
- information fusion
- feature vectors
- feature representation
- subspace learning
- fusion methods
- dimensionality reduction methods
- kernel principal component analysis
- pattern recognition
- fusion process
- pattern classification