Feature selection for novel fingerprint dynamics biometric technique based on PCA.
Ishan BhardwajNarendra D. LondheSunil Kumar KopparapuPublished in: ICACCI (2016)
Keyphrases
- feature extraction
- feature selection
- principal component analysis
- biometric data
- dimensionality reduction
- principal components analysis
- hand geometry
- biometric identification
- feature space
- sparse pca
- pattern recognition
- person authentication
- fingerprint image quality
- fuzzy vault
- feature level fusion
- dimension reduction
- multimodal biometrics
- personal identification
- fingerprint recognition
- biometric template
- principle component analysis
- machine learning
- multimodal biometric systems
- iris recognition
- principal components
- dynamical systems
- mutual information
- feature set
- text classification
- classification accuracy
- feature reduction
- face recognition
- biometric systems
- security systems
- linear discriminant analysis
- human identification
- biometric authentication
- palmprint
- gait recognition
- feature vectors
- text categorization
- information gain
- independent component analysis
- support vector
- feature subspace
- feature selection algorithms
- fingerprint identification
- support vector machine
- confidence level
- feature selection and classification
- authentication systems
- high dimensional
- low dimensional
- score fusion
- fingerprint verification
- match scores
- biometric recognition
- covariance matrix
- input image
- selected features
- fingerprint images
- feature subset