Biometric verification based on grip-pattern recognition

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

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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 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
    Title of host publicationIS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents
    EditorsEdward J. Delp, Ping W. Wong
    Place of PublicationWashington
    PublisherIS&T/SPIE
    Pages634-641
    Number of pages8
    ISBN (Print)0-8194-5209-2
    DOIs
    Publication statusPublished - Jan 2004
    EventIS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents - San Jose, California
    Duration: 1 Jan 20041 Jan 2004

    Publication series

    Name
    PublisherIS&T/SPIE
    Volume5306

    Conference

    ConferenceIS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents
    Period1/01/041/01/04

    Keywords

    • SCS-Cybersecurity
    • SCS-Safety
    • EWI-785
    • smart gun
    • Likelihood Ratio
    • Biometric verification
    • Grip pattern recognition
    • IR-48502
    • METIS-220030

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