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

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

    4 Citations (Scopus)

    Abstract

    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
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4799-8105-2
    DOIs
    Publication statusPublished - Mar 2015

    Publication series

    Name
    PublisherIEEE

    Keywords

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

    Cite this

    Kotzerke, J., Kotzerke, J., Davis, S. A., Hayes, R., Spreeuwers, L. J., Veldhuis, R. N. J., & Horadam, K. J. (2015). Discriminating fingermarks with evidential value for forensic comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015 (pp. 1-6). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/IWBF.2015.7110220
    Kotzerke, Johannes ; Kotzerke, J. ; Davis, S.A. ; Hayes, R. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. ; Horadam, K.J. / Discriminating fingermarks with evidential value for forensic comparison. Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. Piscataway, NJ, USA : IEEE, 2015. pp. 1-6
    @inproceedings{72deb4c2756145cabc51fdde07a0760f,
    title = "Discriminating fingermarks with evidential value for forensic comparison",
    abstract = "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.",
    keywords = "EWI-25945, SCS-Safety, Fingermark, IR-95699, Quality estimation, Sufficient forensic evidential value, METIS-312558, Mobile phone capture",
    author = "Johannes Kotzerke and J. Kotzerke and S.A. Davis and R. Hayes and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.} and K.J. Horadam",
    note = "10.1109/IWBF.2015.7110220",
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    Kotzerke, J, Kotzerke, J, Davis, SA, Hayes, R, Spreeuwers, LJ, Veldhuis, RNJ & Horadam, KJ 2015, Discriminating fingermarks with evidential value for forensic comparison. in Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. IEEE, Piscataway, NJ, USA, pp. 1-6. https://doi.org/10.1109/IWBF.2015.7110220

    Discriminating fingermarks with evidential value for forensic comparison. / Kotzerke, Johannes; Kotzerke, J.; Davis, S.A.; Hayes, R.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; Horadam, K.J.

    Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. Piscataway, NJ, USA : IEEE, 2015. p. 1-6.

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

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    AU - Kotzerke, Johannes

    AU - Kotzerke, J.

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    AU - Hayes, R.

    AU - Spreeuwers, Lieuwe Jan

    AU - Veldhuis, Raymond N.J.

    AU - Horadam, K.J.

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    AB - 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.

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    PB - IEEE

    CY - Piscataway, NJ, USA

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    Kotzerke J, Kotzerke J, Davis SA, Hayes R, Spreeuwers LJ, Veldhuis RNJ et al. Discriminating fingermarks with evidential value for forensic comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. Piscataway, NJ, USA: IEEE. 2015. p. 1-6 https://doi.org/10.1109/IWBF.2015.7110220