Computer techniques play important role in medical fields, especially , in the classification and disease diagnoses. In this paper, Brain MRI is classified using many techniques. Back propagation neural network, K-Nearest and K-means used for classifying these images into normal and abnormal after clustering images using fuzzy c-means and minimizing the extracted features by GLCM using genetic algorithm. The system shows high efficiency through practical experiments that proves that the accuracy of system is reached to 100% through back propagation neural network.