Swarm intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
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
Periocular biometrics in the visible spectrum: a feasibility study
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Personal identification using periocular skin texture
Proceedings of the 2010 ACM Symposium on Applied Computing
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Circuits and Systems for Video Technology
Genetic and evolutionary methods for biometric feature reduction
International Journal of Biometrics
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Personal identification using an individual's periocular skin texture (e.g. the texture of the skin around the eye) is a promising and exciting new biometric modality [11]. For the application presented in this paper, local binary patterns (LBPs) are used to extract 1416 features from the periocular regions of images within the Face Recognition Grand Challenge (FRGC) dataset. GEFE (Genetic & Evolutionary Feature Extraction) is then used to evolve optimized subsets of the original feature set. Our results show that not only do the evolved subsets consist of approximately 50% fewer features but they also have higher recognition rates.