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IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
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CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
An efficient, two-stage iris recognition system
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Score normalization in multimodal biometric systems
Pattern Recognition
Combining face and iris biometrics for identity verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
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Proceedings of the 2010 ACM Symposium on Applied Computing
Encyclopedia of Biometrics
GEFE: genetic & evolutionary feature extraction for periocular-based biometric recognition
Proceedings of the 48th Annual Southeast Regional Conference
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ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
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GESLIC: genetic and evolutionary-based short-length iris codes
Proceedings of the 49th Annual Southeast Regional Conference
A comparison of genetic feature selection and weighting techniques for multi-biometric recognition
Proceedings of the 49th Annual Southeast Regional Conference
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In this paper, we investigate the use of Genetic and Evolutionary Computations (GECs) for feature selection (GEFeS), weighting (GEFeW), and hybrid weighting/selection (GEFeWS) in an attempt to increase recognition accuracy as well as reduce the number of features needed for biometric recognition. These GEC-based methods were first applied to a subset of 105 subjects taken from the Facial Recognition Grand Challenge (FRGC) dataset (FRGC-105) where several feature masks were evolved. The resulting feature masks were then tested on a larger subset taken from the FRGC dataset (FRGC-209) in an effort to investigate how well they generalise to unseen subjects. The results suggest that our GEC-based methods are effective in increasing the recognition accuracy and reducing the features needed for recognition. In addition, the evolved FRGC-105 feature masks generalised well on the unseen subjects within the FRGC-209 dataset.