An active vision architecture based on iconic representations
Artificial Intelligence - Special volume on computer vision
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Detection and Tracking of Facial Features in Video Sequences
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Skin-Color Modeling and Adaptation
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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Our faces are complex objects with features that can vary over time. However, we humans have a natural ability to recognize faces and identify persons in a glance. Unfortunately, this natural ability does not exist in machines, so we need to create intelligent autonomous machines to simulate recognition system artificially. We have implemented intelligent machine for face recognition. A discriminative and robust feature---kernel enhanced informative Genetic Algorithm based Gabor feature is proposed in this paper for face recognition. We have used Genetic Algorithm approach for selection of parameter of Gabor filter. We proposed optimization function for selection of parameters of Gabor in this paper. Experiments have been conducted on face and non face images from the ORL database. The method was tested on several images from ORL database and experimental results were great.