• DocumentCode
    1737751
  • 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
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2873
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.884434
  • Filename
    884434
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1737751