Grip-pattern recognition for smart guns

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

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    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 languageEnglish
    Title of host publication14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC)
    Place of PublicationUtrecht, The Netherlands
    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


    Workshop14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003
    Abbreviated titleProRISC


    • SCS-Safety


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