Decision fusion based cartridge identification using Support Vector Machine
An algorithm for automatic cartridge identification using decision fusion based on Support Vector Machine (SVM) is proposed. First, several kinds of features are extracted by analyzing the marks of cartridges, and then they are integrated to make a final decision by using SVM. Experimental results illustrate the effectiveness of our algorithm.