Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to genetic algorithms
An introduction to genetic algorithms
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
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
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
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Simple Gabor feature space for invariant object recognition
Pattern Recognition Letters
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Hausdorff distance measure for face recognition
Pattern Recognition
Learning the best subset of local features for face recognition
Pattern Recognition
An efficient face verification method in a transformed domain
Pattern Recognition Letters
Variable selection in clustering for marketing segmentation using genetic algorithms
Expert Systems with Applications: An International Journal
Face recognition using spectral features
Pattern Recognition
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
Dynamic training using multistage clustering for face recognition
Pattern Recognition
Locally linear discriminant embedding: An efficient method for face recognition
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
Automatic 3D face recognition from depth and intensity Gabor features
Pattern Recognition
Face recognition across pose: A review
Pattern Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Learned local Gabor patterns for face representation and recognition
Signal Processing
Recent advances in face biometrics with Gabor wavelets: A review
Pattern Recognition Letters
Face and iris localization using templates designed by particle swarm optimization
Pattern Recognition Letters
Genetic design of biologically inspired receptive fields for neural pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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
Robust coding schemes for indexing and retrieval from large face databases
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Locally Linear Regression for Pose-Invariant Face Recognition
IEEE Transactions on Image Processing
A Comparative Study of Local Matching Approach for Face Recognition
IEEE Transactions on Image Processing
Face recognition with local gabor textons
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Face recognition using discriminant sparsity neighborhood preserving embedding
Knowledge-Based Systems
Sparse representation based classification for face recognition by k-limaps algorithm
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Local descriptors in application to the aging problem in face recognition
Pattern Recognition
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Face recognition has a wide range of possible applications in surveillance, human computer interfaces and marketing and advertising goods for selected customers according to age and gender. Because of the high classification rate and reduced computational time, one of the best methods for face recognition is based on Gabor jet feature extraction and Borda count classification. In this paper, we propose methodological improvements to increase face recognition rate by selection of Gabor jets using entropy and genetic algorithms. This selection of jets additionally allows faster processing for real-time face recognition. We also propose improvements in the Borda count classification through a weighted Borda count and a threshold to eliminate low score jets from the voting process to increase the face recognition rate. Combinations of Gabor jet selection and Borda count improvements are also proposed. We compare our results with those published in the literature to date and find significant improvements. Our best results on the FERET database are 99.8%, 99.5%, 89.2% and 86.8% recognition rates on the subsets Fb, Fc, Dup1 and Dup2, respectively. Compared to the best results published in the literature, the total number of recognition errors decreased from 163 to 112 (31%). We also tested the proposed method under illumination changes, occlusions with sunglasses and scarves and for small pose variations. Results on two different face databases (AR and Extended Yale B) with significant illumination changes showed over 90% recognition rate. The combination EJS-BTH-BIP reached 98% and 99% recognition rate in images with sunglasses and scarves from the AR database, respectively. The proposed method reached 93.5% recognition on faces with small pose variation of 25^o rotation and 98.5% with 15% rotation in the FERET database.