Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet.
Jing HuangXinge YouYuan YuanFeng YangLin LinPublished in: Neurocomputing (2010)
Keyphrases
- rotation invariant
- feature extraction
- gaussian markov random fields
- gabor wavelets
- feature vectors
- iris recognition
- texture classification
- texture analysis
- local binary pattern
- texture features
- wavelet transform
- gabor filters
- dt cwt
- rotation invariance
- wavelet coefficients
- texture image retrieval
- computationally efficient
- zernike moments
- rotation invariant texture classification
- multiscale
- non stationary
- denoising
- maximum likelihood
- scale invariance
- wavelet decomposition
- multiresolution
- texture images
- feature selection
- dominant orientation
- feature space
- feature representation
- pattern recognition
- image processing
- dual tree
- wavelet domain
- subband
- face recognition
- fractal dimension
- distance measure
- image compression
- image sequences
- machine learning
- em algorithm
- feature set
- image features
- face images