A filter based genetic algorithm and neural network technique for Image Classification

We present a method for classification of images using GA-NN approach. We will take standard image data set from UCI repository or we can create image data set by clicking images using camera and further extracting features using mazda software. In either case we will be getting feature-set of images, which will be reduced (optimized) by feature subset selection using Mutual Information based filter approach of Genetic algorithm. This optimal feature set will be further classified using neural network (nprtool). Finally we are comparing our classification results with the results of existing Multi-SVM method.