Title :
Decision fusion based cartridge identification using Support Vector Machine
Author :
Zhou, Jie ; Le-Ping Xin ; Rong, Gang ; Zhang, David
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
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
Keywords :
ballistics; feature extraction; image classification; learning automata; object detection; SVM; Support Vector Machine; automatic cartridge identification; cartridge marks; decision fusion based cartridge identification; feature extraction; Authentication; Feature extraction; Fingerprint recognition; Intelligent systems; Laboratories; Optical microscopy; Optical noise; Shape; Support vector machines; Voting;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884434
