The brain images are indicating what condition the brain has. The objective of this research is to design asoftware that will automatically classifies the brain images to their associated disorders. In order toachieve the objective of this research, a database for training and testing the software of brain images mustto be found. In this research we have 105 number of images in data set. In order to differentiate betweenthe classes of those brain images, features had to be extracted from the images. Then, images will beclassified into two classes normal and abnormal by using SVM and KNN classifier. The features that wereextracted were used in the classification process. The classifiers performed really well, whereas the SVMclassifier performed better since its accuracy is 100% on testing set. In the end, the software was successfulin separating the two classes.
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