Biometric verification based on grip-pattern recognition

Raymond N.J. Veldhuis, A.M. Bazen, J.A. Kauffman, Pieter H. Hartel

    Research output: Book/ReportReportProfessional

    23 Citations (Scopus)
    102 Downloads (Pure)


    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 £ 44 piezoresistive elements is used to measure the grip pattern. 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 PC. The verification algorithm is based on a likelihoodratio classifier for Gaussian probability densities. First results indicate that it is feasible to use grip-pattern recognition for biometric verification.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Number of pages12
    Publication statusPublished - May 2004

    Publication series

    NameCTIT technical report series
    PublisherUniversity of Twente, Centre for Telematics and Information Technology (CTIT)


    • SCS-Cybersecurity
    • SCS-Safety
    • Likelihood Ratio
    • Biometric verification
    • METIS-217668
    • Grip pattern recognition
    • EWI-5782
    • IR-47327
    • smart gun

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