t: Breast cancer comes from uncontrolled growth of diseased breast cells. Prior breast cancer detection can increase the
possibilities of a patient’s healthy survival. Using thermography, it can be easily detect breast abnormalities from thermal
images. The statistical features extracted from the thermogram images is given as the inputs to the Fuzzy classifier and SVM
classifier which classifies each input objects to one of the predefined classes. The fuzzy classifier system develops rule-based
systems ie, fuzzy If-Then rules. The aid of fuzzy rule based classification is their comprehensibility and high classification
ability. In this work, 13 extracted features of various thermal images were given as input of Fuzzy and SVM classifier and the
performance of both classifiers were analyzed
