Grip-pattern recognition for smart guns

J.A. Kauffman, A.M. Bazen, Sabih H. Gerez, Raymond N.J. Veldhuis

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    Abstract

    This paper describes the design, implementation and evaluation of a user-verification system for a smart gun, which is based on grip-pattern recognition. An existing pressure sensor consisting of an array of 44 x 44 piezoresistive elements has been used. An interface has been developed to acquire pressure images from the sensor. The values of the pixels in the pressure-pattern images are used as inputs for a verification algorithm, which is currently implemented in software on a computer. The verification algorithm is based on a likelihood-ratio classifier for Gaussian probability densities. First results indicate that it is possible to use grip-pattern recognition for biometric verification, when allowing a certain false-rejection and false-acceptance rate. However, more measurements are needed to give a more reliable indication of the systems performance.
    Original languageUndefined
    Title of host publication14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC)
    Place of PublicationUtrecht, The Netherlands
    PublisherSTW
    Pages379-384
    Number of pages6
    ISBN (Print)90-73461-39-1
    Publication statusPublished - Nov 2003
    Event14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003 - Veldhoven, Netherlands
    Duration: 25 Nov 200327 Nov 2003
    Conference number: 14

    Publication series

    Name
    PublisherSTW Technology Foundation

    Workshop

    Workshop14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003
    Abbreviated titleProRISC
    CountryNetherlands
    CityVeldhoven
    Period25/11/0327/11/03

    Keywords

    • METIS-215829
    • SCS-Safety
    • EWI-832
    • IR-46699

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