Measuring coherence of computer-assisted likelihood ratio methods

Rudolf Haraksim*, Daniel Ramos, Didier Meuwly, Charles E.H. Berger

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

24 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)123-132
Number of pages10
JournalForensic science international
Volume249
Early online date4 Feb 2015
DOIs
Publication statusPublished - Apr 2015
Externally publishedYes

Keywords

  • n/a OA procedure
  • Fingermark
  • Fingerprint
  • Forensic evidence
  • Likelihood ratio
  • Validation
  • Coherence

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