Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison

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    Abstract

    In our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.
    Original languageEnglish
    Title of host publication2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Pages1-5
    Number of pages5
    ISBN (Print)978-1-4244-2729-1
    DOIs
    Publication statusPublished - 29 Sep 2008
    Event2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008 - Washington, United States
    Duration: 29 Sep 20081 Oct 2008
    Conference number: 2
    http://www.cse.nd.edu/BTAS_08/

    Publication series

    Name
    PublisherIEEE Computer Society Press
    NumberWoTUG-31

    Conference

    Conference2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008
    Abbreviated titleBTAS
    CountryUnited States
    City Washington
    Period29/09/081/10/08
    Internet address

    Keywords

    • SCS-Safety
    • EWI-14613
    • METIS-255004
    • IR-65218
    • CR-I.5

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