Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint.
Habibeh NaderiBehrouz Haji SoleimaniStan MatwinPublished in: CRV (2017)
Keyphrases
- manifold learning
- palmprint
- multimodal biometrics
- feature extraction
- biometric systems
- feature space
- biometric recognition
- dimensionality reduction
- sparse representation
- recognition algorithm
- palmprint recognition
- biometric identification
- sparse coding
- low dimensional
- feature vectors
- iris recognition
- personal identification
- high dimensional
- image classification
- linear combination
- face recognition
- gabor filters
- image representation
- feature selection
- pattern recognition
- feature set
- low quality
- natural images
- training set
- image processing
- principal component analysis
- kernel function
- texture analysis
- high dimensional data
- biometric data
- feature representation
- input data
- texture features
- local binary pattern
- linear discriminant analysis
- image retrieval
- kernel methods
- face images
- security systems
- data points
- semi supervised
- high quality
- poor quality
- medical images
- region of interest
- image patches