Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fuzzy Directional Element Energy Feature (FDEEF) Based Palmprint Identification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Fisherpalms based palmprint recognition
Pattern Recognition Letters
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orthogonal Neighborhood Preserving Projections
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A hybrid wavelet-based fingerprint matcher
Pattern Recognition
A multi-expert approach for wavelet-based face detection
Pattern Recognition Letters
RegionBoost learning for 2D+3D based face recognition
Pattern Recognition Letters
Multiresolution face recognition
Image and Vision Computing
An automated palmprint recognition system
Image and Vision Computing
Personal identification using knuckleprint
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Fusion of classifiers for illumination robust face recognition
Expert Systems with Applications: An International Journal
Comparing and combining lighting insensitive approaches for face recognition
Computer Vision and Image Understanding
Wavelet selection for disease classification by DNA microarray data
Expert Systems with Applications: An International Journal
A hybrid method for MRI brain image classification
Expert Systems with Applications: An International Journal
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In this work, we study the usefulness of multi-resolution analysis for the face and palm authentication problems. The images are decomposed into frequency subbands with different levels of decomposition using different wavelets. We adopt as features for the authentication problem, the wavelet coefficients extracted from some ''selected'' subbands of several wavelet families. We propose to use a multi-matcher where each matcher is trained using a single subband, the matchers are combined using the ''Max Rule''. The band selection is performed by running Sequential Forward Floating Selection (SFFS). Moreover, several linear subspace projection techniques have been tested and compared. Experiments carried out on several biometric datasets show that the application of Laplacian EigenMaps (LEM) on a little subset of wavelet subbands (chosen by SFFS) permits to obtain a low Equal Error Rate.