Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using the Discrete Cosine Transform
International Journal of Computer Vision - Special issue: Research at McGill University
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Simple Gabor feature space for invariant object recognition
Pattern Recognition Letters
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Preliminary Face Recognition Grand Challenge Results
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient face verification method in a transformed domain
Pattern Recognition Letters
Face recognition using DCT-based feature vectors
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Evaluation of the effects of Gabor filter parameters on texture classification
Pattern Recognition
2D face recognition based on supervised subspace learning from 3D models
Pattern Recognition
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Learned local Gabor patterns for face representation and recognition
Signal Processing
Hierarchical ensemble of global and local classifiers for face recognition
IEEE Transactions on Image Processing
Image and Vision Computing
Face and iris localization using templates designed by particle swarm optimization
Pattern Recognition Letters
Fusing local patterns of gabor magnitude and phase for face recognition
IEEE Transactions on Image Processing
Maximum Correntropy Criterion for Robust Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Iris Detection on Coronal-Axis-Rotated Faces
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Genetic design of biologically inspired receptive fields for neural pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Linear versus nonlinear neural modeling for 2-D pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Comparative Study of Local Matching Approach for Face Recognition
IEEE Transactions on Image Processing
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Remote identification of faces: Problems, prospects, and progress
Pattern Recognition Letters
Face recognition with local gabor textons
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Face recognition is one of the most extensively studied topics in image analysis because of its wide range of possible applications such as in surveillance, access control, content-based video search, human-computer interaction, electronic advertisement and more. Face identification is a one-to-n matching problem where a captured face is compared to n samples in a database. In this work we propose two new methods for face identification. The first one combines entropy-like weighted Gabor features with the local normalization of Gabor features. The second fuses the entropy-like weighted Gabor features at the score level with the local binary pattern (LBP) applied to the magnitude (LGBP) and phase (LGXP) components of the Gabor features. We used the FERET, AR, and FRGC 2.0 databases to test and compare our results with those previously published. Results on these databases show significant improvement relative to previously published results, reaching the best performance on the FERET and AR databases. Our methods also showed significant robustness to slight pose variations. We tested the proposed methods assuming noisy eye detection to check their robustness to inexact face alignment. Results show that the proposed methods are robust to errors of up to 3 pixels in eye detection.