Fusion of gait and fingerprint for user authentication on mobile devices

Mohammad Derawi, Davrondzhon Gafurov, Rasmus Larsen, Christoph Busch, Patrick Bours

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected by a capacitive line sensor, an optical sensor with total internal reflection and a touch-less optical sensor. The fusion results of these two biometrics show an improved performance and a large step closer for user authentication on mobile devices.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd International Workshop on Security and Communication Networks
    Place of PublicationKarlstad
    Publication date2010
    Pages1-6
    ISBN (Print)978-1-4244-6938-3
    DOIs
    Publication statusPublished - 2010
    Event2nd International Workshop on Security and Communication Networks - Karlstad, Sweden
    Duration: 26 May 201028 May 2010
    Conference number: 2
    http://www.cs.kau.se/iwscn2010/

    Workshop

    Workshop2nd International Workshop on Security and Communication Networks
    Number2
    CountrySweden
    CityKarlstad
    Period26/05/201028/05/2010
    Internet address

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