Biometric identification based on feature fusion with PCA and SVM.
László LefkovitsSzidónia LefkovitsSimina EmerichPublished in: ICMV (2017)
Keyphrases
- feature fusion
- biometric identification
- feature extraction
- support vector machine svm
- iris recognition
- principal component analysis
- gait recognition
- feature vectors
- feature space
- svm classifier
- feature selection
- principal components analysis
- multiple features
- support vector
- knn
- single feature
- dimensionality reduction methods
- support vector machine
- canonical correlation analysis
- dimensionality reduction
- linear discriminant analysis
- biometric systems
- face recognition
- pattern recognition
- face images
- image classification
- fingerprint identification
- subspace learning
- machine learning
- covariance matrix
- image processing
- recognition rate
- training data
- kernel function
- preprocessing
- texture analysis
- high dimensional
- low dimensional
- personal identification
- multi class
- principal components
- gabor filters
- texture features
- multiresolution
- image analysis
- training set