A review of calibration methods for biometric systems in forensic applications
Ali, Tauseef and Spreeuwers, Luuk and Veldhuis, Raymond (2012) A review of calibration methods for biometric systems in forensic applications. In: 33rd WIC Symposium on Information Theory in the Benelux, 2425 May 2012, Boekelo, the Netherlands (pp. pp. 126133).

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Abstract:  When, in a criminal case there are traces from a crime scene  e.g., finger marks or facial recordings from a surveillance camera  as well as a suspect, the judge has to accept either the hypothesis of the prosecution, stating that the trace originates from the subject, or the hypothesis of the defense , stating the opposite. The current practice is that forensic experts provide a degree of support for either of the two hypotheses, based on their examinations of the trace and reference data  e.g., fingerprints or photos  taken from the suspect. There is a growing interest in a more objective quantitative support for these hypotheses based on the output of biometric systems instead of manual comparison. However, the output of a scorebased biometric system is not directly suitable for quantifying the evidential value contained in a trace. A suitable measure that is gradually becoming accepted in the forensic community is the Likelihood Ratio (LR) which is the ratio of the probability of evidence given and the probability of evidence given . In this paper we study and compare different scoretoLR conversion methods (called calibration methods). We include four methods in this comparative study: Kernel Density Estimation (KDE), Logistic Regression (Log Reg), Histogram Binning (HB), and Pool Adjacent Violators (PAV). Useful statistics such as mean and bias of the bootstrap distribution of for a single score value are calculated for each method varying population sizes and score location. 
Item Type:  Conference or Workshop Item 
Faculty:  Electrical Engineering, Mathematics and Computer Science (EEMCS) 
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Link to this item:  http://purl.utwente.nl/publications/80693 
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