Grip-Pattern Recognition in Smart Gun Based on Likelihood-Ratio Classifier and Support Vector Machine

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    4 Citations (Scopus)

    Abstract

    In the biometric verification system of a smart gun, the rightful user of a gun is recognized based on grip-pattern recognition. It was found that the verification performance of this system degrades strongly when the data for training and testing have been recorded in different sessions with a time lapse. This is due to the variations between the probe image and the gallery image of a subject. In this work the grip-pattern verification has been implemented based on both classifiers of the likelihood-ratio classifier and the support vector machine. It has been shown that the support vector machine gives much better results than the likelihood-ratio classifier if there are considerable variations between data for training and testing. However, once the variations are reduced by certain techniques and thus the data are better modelled during the training process, the support vector machine tends to lose its superiority.
    Original languageEnglish
    Title of host publicationImage and Signal Processing
    Subtitle of host publication3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1-3, 2008. Proceedings
    Place of PublicationBerlin
    PublisherSpringer
    Pages289-295
    Number of pages7
    ISBN (Print)978-3-540-69904-0
    DOIs
    Publication statusPublished - 6 Jul 2008
    Event3rd International Conference on Image and Signal Processing, ICISP 2008 - Cherbourg-Octeville, France
    Duration: 1 Jul 20083 Jul 2008
    Conference number: 3

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5099
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference3rd International Conference on Image and Signal Processing, ICISP 2008
    Abbreviated titleICISP
    CountryFrance
    CityCherbourg-Octeville
    Period1/07/083/07/08

    Keywords

    • EWI-14299
    • CR-I.5
    • IR-62576
    • METIS-254945
    • SCS-Safety

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  • Cite this

    Shang, X., & Veldhuis, R. N. J. (2008). Grip-Pattern Recognition in Smart Gun Based on Likelihood-Ratio Classifier and Support Vector Machine. In Image and Signal Processing: 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1-3, 2008. Proceedings (pp. 289-295). (Lecture Notes in Computer Science; Vol. 5099). Berlin: Springer. https://doi.org/10.1007/978-3-540-69905-7_33