Likelihood ratio data to report the validation of a forensic fingerprint evaluation method

Abstract

Data to which the authors refer to throughout this article are likelihood ratios (LR) computed from the comparison of 5–12 minutiae fingermarks with fingerprints. These LRs data are used for the validation of a likelihood ratio (LR) method in forensic evidence evaluation. These data present a necessary asset for conducting validation experiments when validating LR methods used in forensic evidence evaluation and set up validation reports. These data can be also used as a baseline for comparing the fingermark evidence in the same minutiae configuration as presented in (D. Meuwly, D. Ramos, R. Haraksim,) [1], although the reader should keep in mind that different feature extraction algorithms and different AFIS systems used may produce different LRs values. Moreover, these data may serve as a reproducibility exercise, in order to train the generation of validation reports of forensic methods, according to [1]. Alongside the data, a justification and motivation for the use of methods is given. These methods calculate LRs from the fingerprint/mark data and are subject to a validation procedure. The choice of using real forensic fingerprint in the validation and simulated data in the development is described and justified. Validation criteria are set for the purpose of validation of the LR methods, which are used to calculate the LR values from the data and the validation report. For privacy and data protection reasons, the original fingerprint/mark images cannot be shared. But these images do not constitute the core data for the validation, contrarily to the LRs that are shared.

Interpol review of fingermarks and other body impressions 2016–2019

“…[ 30 ] published an excellent guideline to help scientists with the validation of such statistical based methods. The fingerprint data used to illustrate the application of the guideline have also been published [ 31 ].…”

Likelihood Ratios for Deep Neural Networks in Face Comparison

“…General guidelines for validation of the likelihood ratio approach can be found in Refs (17) and (18). The proposed process of validation takes into account two ways of obtaining likelihood ratios from a biometric comparison: score‐based and feature‐based.…”

“…As a consequence of the established improvements in performance, automated systems have the potential to become assistants of judgment in court (15,16). To assess this potential, the LR obtained through the process must be validated for suitability in the forensic field (17,18).…”

Making Likelihood Ratios Digestible for Cross-Application Performance Assessment

“…4, calibration performance can be depicted as well. 10 Online available: https://codeocean.com/algorithm/154591c8-9d3f-47eb-b656-3aff245fd5c1/metadata.…”