Identification Performance of Evidential Value Estimation for Fingermarks

J. Kotzerke, Johannes Kotzerke, S. Davis, R. Hayes, Lieuwe Jan Spreeuwers, Raymond N.J. Veldhuis, K.J. Horadam

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    9 Downloads (Pure)


    Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is a considerable option. Our results show that automatic identification is possible for 126 of the 1,428 fingermarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.
    Original languageUndefined
    Title of host publicationProceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)
    Place of PublicationBonn
    PublisherGesellschaft für Informatik
    Number of pages6
    ISBN (Print)978-3-88579-639-8
    Publication statusPublished - 15 Sept 2015
    Event14th International Conference of the Biometrics Special Interest Group 2015 - Darmstadt, Germany
    Duration: 9 Sept 201511 Sept 2015
    Conference number: 14

    Publication series

    NameLecture Notes in Informatics (LNI) - Proceedings
    PublisherGesellschaft für Informatik (GI)
    ISSN (Print)1617-5468


    Conference14th International Conference of the Biometrics Special Interest Group 2015
    Abbreviated titleBIOSIG 2015


    • SCS-Safety
    • EWI-26416
    • crime scene
    • Biometrics
    • IR-98077
    • Fingerprint recognition
    • Forensics
    • METIS-315004
    • Evidential value

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