genetic algorithm based filter and ann based classifier for face recognition
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.
genetic algorithm ann gabor filter epoch wavelets kernels filter bank local features bpn