Towards the automation of forensic facial individualisation: Comparing forensic to non forensic eyebrow features

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    Abstract

    The Facial Identification Scientific Working Group (FISWG) publishes recommendations regarding one-to-one facial comparisons. At this moment a draft version of a facial image comparison feature list for morphological analysis has been published. This feature list is based on casework experience by forensic facial examiners. This paper investigates whether the performance of the FISWG eyebrow feature set can be considered as being "state-of-the-art". We compare the recognition performance of one particular state-of-the-art non forensic eyebrow feature set to a semi-automated version of the forensic FISWG eyebrow feature set. The recognition performance is measured in terms of the forensic relevant log-likelihood-ratio cost metric $C_{llr}$. It is shown the FISWG feature set can be considered as being "state-of-the-art" and there actually exists a collection of feature sets that have similar performance.
    Original languageEnglish
    Title of host publication35rd WIC Symposium on Information Theory in the Benelux and The 4th WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux
    Subtitle of host publicationEindhoven, The Netherlands, May 12-13, 2014
    EditorsBoris Skoric, Tanya Ignatenko
    Place of PublicationEindhoven
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages73-80
    Number of pages8
    ISBN (Print)978-90-365-3383-6
    Publication statusPublished - 12 May 2014
    Event35th WIC Symposium on Information Theory in the Benelux 2014 - Eindhoven, Netherlands
    Duration: 12 May 201413 May 2014
    Conference number: 35

    Conference

    Conference35th WIC Symposium on Information Theory in the Benelux 2014
    CountryNetherlands
    CityEindhoven
    Period12/05/1413/05/14

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    Keywords

    • SCS-Safety
    • METIS-305909
    • IR-91374
    • EWI-24819

    Cite this

    Zeinstra, C., Veldhuis, R., & Spreeuwers, L. (2014). Towards the automation of forensic facial individualisation: Comparing forensic to non forensic eyebrow features. In B. Skoric, & T. Ignatenko (Eds.), 35rd WIC Symposium on Information Theory in the Benelux and The 4th WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux: Eindhoven, The Netherlands, May 12-13, 2014 (pp. 73-80). Eindhoven: Werkgemeenschap voor Informatie- en Communicatietheorie (WIC).