To enhance recognition rate of radar emitter signals (RESs) to meet the requirements of modem electronic warfare, a novel approach is proposed to recognize automatically different RESs. The main points of the introduced approach include resemblance coefficient feature extraction and support vector machine classifiers. Experimental results show that the proposed approach is a good method for recognizing RESs and support vector machines are better classifiers for solving pattem recognition problems than neural networks.