Discriminating fingermarks with evidential value for forensic comparison

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

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    Law enforcement agencies all around the world are using biometrics and especially fingerprints to solve and fight crime. Often forensic experts are needed to record fingermarks at crime scenes and to ensure that those captured are of forensic value. In times of increased demand for forensic services, this process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. Hence, we investigate if the forensic evidential value (suitability for forensic analysis and/or examination) of fingermark images can be determined at an early stage automatically without any expert involvement, especially when using a mobile phone camera. We explore the interplay of different factors such as the capture device and the constraints inferred, image feature sets and classifiers used, and their interplay. A database of 1,428 pseudo fingermarks has been collected and its ground truth, whether a mark is of forensic value or not, has been determined by 3 experts. The lowest equal error rate achieved, when using a mobile phone to capture the marks, is 13.62%. These promising results suggest that it might be possible to streamline forensic procedures by the application of an independent automated tool to assist with certain tasks.
    Original languageUndefined
    Title of host publicationProceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015
    Place of PublicationPiscataway, NJ, USA
    Number of pages6
    ISBN (Print)978-1-4799-8105-2
    Publication statusPublished - Mar 2015
    Event3rd International Workshop on Biometrics and Forensics, IWBF 2015 - Gjovik, Norway
    Duration: 3 Mar 20154 Mar 2015

    Publication series



    Workshop3rd International Workshop on Biometrics and Forensics, IWBF 2015
    Other3-4 March, 2015


    • EWI-25945
    • SCS-Safety
    • Fingermark
    • IR-95699
    • Quality estimation
    • Sufficient forensic evidential value
    • METIS-312558
    • Mobile phone capture

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