Floating search methods in feature selection
Pattern Recognition Letters
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour Matching for 3D Ear Recognition
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Force field feature extraction for ear biometrics
Computer Vision and Image Understanding
Empirical Evaluation of Advanced Ear Biometrics
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Ear Biometrics Using 2D and 3D Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Acoustic Ear Recognition for Person Identification
AUTOID '05 Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid and brief communication: Two-class fingerprint matcher
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Recognition Using 3D Ear Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multi-matcher for ear authentication
Pattern Recognition Letters
Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition
Computer Vision and Image Understanding
On selecting Gabor features for biometric authentication
International Journal of Computer Applications in Technology
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Fusing Gabor and LBP feature sets for kernel-based face recognition
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Intelligent computing for automated biometrics, criminal and forensic applications
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Recent advances in ear biometrics
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Multi-biometrics 2d and 3d ear recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A feature extraction method for use with bimodal biometrics
Pattern Recognition
An integrated authentication framework based on multi-tier biometrics
International Journal of Biometrics
Automated human identification using ear imaging
Pattern Recognition
Ear recognition based on local information fusion
Pattern Recognition Letters
A rotation and scale invariant technique for ear detection in 3D
Pattern Recognition Letters
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In this work, we propose a local approach for 2D ear authentication based on an ensemble of matchers trained on different color spaces. This is the first work that proposes to exploit the powerful properties of color analysis for improving the performance of an ear matcher. The method described is based on the selection of color spaces from which a set of Gabor features are extracted. The selection is performed using the sequential forward floating selection where the fitness function is related to the optimization of the ear recognition performance. Finally, the matching step is performed by means of the combination by the sum rule of several 1-nearest neighbor classifiers constructed on different color components. The effectiveness of the proposed method is demonstrated using the Notre-Dame EAR data set. Particularly interesting are the results obtained by the new approach in terms of rank-1 (~84%), rank-5 (~93%) and area under the ROC curve (~98.5%), which are better than those obtained by other state-of-the-art 2D ear matchers.