Grip-pattern recognition: Applied to a smart gun

X. Shang

    Research output: ThesisPhD Thesis - Research external, graduation external

    264 Downloads (Pure)


    In our work the verification performance of a biometric recognition system based on grip patterns, as part of a smart gun for use by the police ocers, has been investigated. The biometric features are extracted from a two-dimensional pattern of the pressure, exerted on the grip of a gun by the hand of a person holding it. Such a grip-pattern verication system is interesting, particularly because it is well personalized. For this application a very low false-rejection rate is required, rendering it highly unlikely that the rightful user is not able to fire the gun. We have set the false-rejection rate for verification as below 10E-04, the official requirement of the failure probability of a police gun in the Netherlands. Under this precondition, the false-acceptance rate has to be minimized.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Twente
    • Veldhuis, Raymond, Advisor
    • Slump, Cornelis H., Supervisor
    Thesis sponsors
    Award date19 Dec 2008
    Place of PublicationEnschede
    Print ISBNs978-90-365-2732-3
    Publication statusPublished - 19 Dec 2008


    • CR-I.5
    • IR-60347
    • EWI-14292
    • METIS-256457


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