Restoration of missing lines in grip patterns for biometrics authentication on a smart gun

X. Shang, K. Kooi, Raymond N.J. Veldhuis, W.P.T. Ganzevoort

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    The Secure Grip project1 aims to develop a grip-pattern recognition system, as part of a smart gun. Its target users are the police officers. The current authentication algorithm is based on a likelihood-ratio classifier. The grip pattern is acquired by sensors on the grip of the gun. Since in practice various factors can result in missing lines in a grip pattern, restoration of these missing lines will be useful and practical. We present a restoration algorithm based on null-space error minimization. The simulation results of the restoration and authentication experiments show that this restoration algorithm effectively restores grip patterns, and is, therefore, capable of improving the system’s authentication performance when missing lines are present.
    Original languageUndefined
    Title of host publicationProceedings of SPS-DARTS 2006 the second annual IEEE Benelux/DSP Valley Signal Processing Symposium
    Place of PublicationAntwerp
    Number of pages4
    ISBN (Print)978-90-73461-44-4
    Publication statusPublished - 28 Mar 2006
    Event2nd Annual IEEE BENELUX/DSP Valley Signal Processing Symposium, SPS-DARTS 2006 - Antwerp, Belgium
    Duration: 28 Mar 200629 Mar 2006
    Conference number: 2

    Publication series

    PublisherIEEE Benelux EMBS


    Conference2nd Annual IEEE BENELUX/DSP Valley Signal Processing Symposium, SPS-DARTS 2006
    Abbreviated titleSPS-DARTS


    • SCS-Safety
    • METIS-248231
    • IR-64443
    • EWI-11341

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