title: Measuring coherence of computer-assisted likelihood ratio methods.
abstract: Measuring the performance of forensic evaluation methods that compute likelihood ratios (LRs) is relevant for both the development and the validation of such methods. A framework of performance characteristics categorized as primary and secondary is introduced in this study to help achieve such development and validation. Ground-truth labelled fingerprint data is used to assess the performance of an example likelihood ratio method in terms of those performance characteristics. Discrimination, calibration, and especially the coherence of this LR method are assessed as a function of the quantity and quality of the trace fingerprint specimen. Assessment of the coherence revealed a weakness of the comparison algorithm in the computer-assisted likelihood ratio method used.
authors.affiliation: Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, Netherlands. Electronic address: haraksim@gmail.com.
authors.forename: Rudolf
authors.initials: R
authors.lastname: Haraksim
authors.affiliation: ATVS - Biometric Recognition Group, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/Francisco Tomas y Valiente 11, 28049 Madrid, Spain.
authors.forename: Daniel
authors.initials: D
authors.lastname: Ramos
authors.affiliation: Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, Netherlands.
authors.forename: Didier
authors.initials: D
authors.lastname: Meuwly
authors.affiliation: Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, Netherlands.
authors.forename: Charles E H
authors.initials: CE
authors.lastname: Berger
mesh_terms: D000465:Algorithms; D003201:Computers; D019992:Databases as Topic; D003878:Dermatoglyphics; D006801:Humans; D016013:Likelihood Functions
keywords: Coherence; Fingermark; Fingerprint; Forensic evidence; Likelihood ratio; Validation