Effect of calibration data on forensic likelihood ratio from a face recognition system

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

    9 Citations (Scopus)
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    Abstract

    A biometric system used for forensic evaluation requires a conversion of the score to a likelihood ratio. A likelihood ratio can be computed as the ratio of the probability of a score given the prosecution hypothesis is true and the probability of a score given the defense hypothesis is true. In this paper we study two different approaches of a forensic likelihood ratio computation in the context of forensic face recognition. These approaches differ in the databases they use to obtain the score distribution under the prosecution and the defense hypothesis and therefore consider slightly different interpretation of these hypotheses. The goal of this study is to quantify the effect of these approaches on the resultant likelihood ratio in the context of evidence evaluation from a face recognition system. A state-of-the art commercial face recognition system is employed for facial images comparison and computation of scores. A simple forensic case is simulated by randomly selecting a small subset from the FRGC database. Images in this subset are used to estimate the score distribution under the prosecution and the defense hypothesis and the effect of different approaches of a likelihood ratio computation is demonstrated and explained. It is observed that there is a significant variation in the resultant likelihood ratios given the databases which are used to model the prosecution and defense hypothesis are varied.
    Original languageUndefined
    Title of host publicationIEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013
    Place of PublicationUnited States
    PublisherIEEE
    Pages1-8
    Number of pages8
    ISBN (Print)978-1-4799-0527-0
    DOIs
    Publication statusPublished - 30 Sep 2013

    Publication series

    NameIEEE explore digital library
    PublisherIEEE

    Keywords

    • SCS-Safety
    • EWI-24346
    • IR-89303
    • METIS-302665
    • Forensics
    • Image Processing
    • Face Recognition
    • Biometrics

    Cite this

    Ali, T., Spreeuwers, L. J., Veldhuis, R. N. J., Meuwly, D., & Meuwly, D. (2013). Effect of calibration data on forensic likelihood ratio from a face recognition system. In IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013 (pp. 1-8). (IEEE explore digital library). United States: IEEE. https://doi.org/10.1109/BTAS.2013.6712709
    Ali, Tauseef ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. ; Meuwly, Didier ; Meuwly, Didier. / Effect of calibration data on forensic likelihood ratio from a face recognition system. IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013. United States : IEEE, 2013. pp. 1-8 (IEEE explore digital library).
    @inproceedings{58b15c4834584c88953b44a62b982e17,
    title = "Effect of calibration data on forensic likelihood ratio from a face recognition system",
    abstract = "A biometric system used for forensic evaluation requires a conversion of the score to a likelihood ratio. A likelihood ratio can be computed as the ratio of the probability of a score given the prosecution hypothesis is true and the probability of a score given the defense hypothesis is true. In this paper we study two different approaches of a forensic likelihood ratio computation in the context of forensic face recognition. These approaches differ in the databases they use to obtain the score distribution under the prosecution and the defense hypothesis and therefore consider slightly different interpretation of these hypotheses. The goal of this study is to quantify the effect of these approaches on the resultant likelihood ratio in the context of evidence evaluation from a face recognition system. A state-of-the art commercial face recognition system is employed for facial images comparison and computation of scores. A simple forensic case is simulated by randomly selecting a small subset from the FRGC database. Images in this subset are used to estimate the score distribution under the prosecution and the defense hypothesis and the effect of different approaches of a likelihood ratio computation is demonstrated and explained. It is observed that there is a significant variation in the resultant likelihood ratios given the databases which are used to model the prosecution and defense hypothesis are varied.",
    keywords = "SCS-Safety, EWI-24346, IR-89303, METIS-302665, Forensics, Image Processing, Face Recognition, Biometrics",
    author = "Tauseef Ali and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.} and Didier Meuwly and Didier Meuwly",
    note = "10.1109/BTAS.2013.6712709",
    year = "2013",
    month = "9",
    day = "30",
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    address = "United States",

    }

    Ali, T, Spreeuwers, LJ, Veldhuis, RNJ, Meuwly, D & Meuwly, D 2013, Effect of calibration data on forensic likelihood ratio from a face recognition system. in IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013. IEEE explore digital library, IEEE, United States, pp. 1-8. https://doi.org/10.1109/BTAS.2013.6712709

    Effect of calibration data on forensic likelihood ratio from a face recognition system. / Ali, Tauseef; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; Meuwly, Didier; Meuwly, Didier.

    IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013. United States : IEEE, 2013. p. 1-8 (IEEE explore digital library).

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

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    AU - Ali, Tauseef

    AU - Spreeuwers, Lieuwe Jan

    AU - Veldhuis, Raymond N.J.

    AU - Meuwly, Didier

    AU - Meuwly, Didier

    N1 - 10.1109/BTAS.2013.6712709

    PY - 2013/9/30

    Y1 - 2013/9/30

    N2 - A biometric system used for forensic evaluation requires a conversion of the score to a likelihood ratio. A likelihood ratio can be computed as the ratio of the probability of a score given the prosecution hypothesis is true and the probability of a score given the defense hypothesis is true. In this paper we study two different approaches of a forensic likelihood ratio computation in the context of forensic face recognition. These approaches differ in the databases they use to obtain the score distribution under the prosecution and the defense hypothesis and therefore consider slightly different interpretation of these hypotheses. The goal of this study is to quantify the effect of these approaches on the resultant likelihood ratio in the context of evidence evaluation from a face recognition system. A state-of-the art commercial face recognition system is employed for facial images comparison and computation of scores. A simple forensic case is simulated by randomly selecting a small subset from the FRGC database. Images in this subset are used to estimate the score distribution under the prosecution and the defense hypothesis and the effect of different approaches of a likelihood ratio computation is demonstrated and explained. It is observed that there is a significant variation in the resultant likelihood ratios given the databases which are used to model the prosecution and defense hypothesis are varied.

    AB - A biometric system used for forensic evaluation requires a conversion of the score to a likelihood ratio. A likelihood ratio can be computed as the ratio of the probability of a score given the prosecution hypothesis is true and the probability of a score given the defense hypothesis is true. In this paper we study two different approaches of a forensic likelihood ratio computation in the context of forensic face recognition. These approaches differ in the databases they use to obtain the score distribution under the prosecution and the defense hypothesis and therefore consider slightly different interpretation of these hypotheses. The goal of this study is to quantify the effect of these approaches on the resultant likelihood ratio in the context of evidence evaluation from a face recognition system. A state-of-the art commercial face recognition system is employed for facial images comparison and computation of scores. A simple forensic case is simulated by randomly selecting a small subset from the FRGC database. Images in this subset are used to estimate the score distribution under the prosecution and the defense hypothesis and the effect of different approaches of a likelihood ratio computation is demonstrated and explained. It is observed that there is a significant variation in the resultant likelihood ratios given the databases which are used to model the prosecution and defense hypothesis are varied.

    KW - SCS-Safety

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    KW - IR-89303

    KW - METIS-302665

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    KW - Biometrics

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    SN - 978-1-4799-0527-0

    T3 - IEEE explore digital library

    SP - 1

    EP - 8

    BT - IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013

    PB - IEEE

    CY - United States

    ER -

    Ali T, Spreeuwers LJ, Veldhuis RNJ, Meuwly D, Meuwly D. Effect of calibration data on forensic likelihood ratio from a face recognition system. In IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013. United States: IEEE. 2013. p. 1-8. (IEEE explore digital library). https://doi.org/10.1109/BTAS.2013.6712709