Likelihood ratio data to report the validation of a forensic fingerprint evaluation method
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 necess...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-02-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340916306680 |
| _version_ | 1818505665407090688 |
|---|---|
| author | Daniel Ramos Rudolf Haraksim Didier Meuwly |
| author_facet | Daniel Ramos Rudolf Haraksim Didier Meuwly |
| author_sort | Daniel Ramos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T21:53:58Z |
| format | Article |
| id | doaj.art-7fee74b5767748ee9fd5982f032341f2 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-10T21:53:58Z |
| publishDate | 2017-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-7fee74b5767748ee9fd5982f032341f22022-12-22T01:32:07ZengElsevierData in Brief2352-34092017-02-0110C759210.1016/j.dib.2016.11.008Likelihood ratio data to report the validation of a forensic fingerprint evaluation methodDaniel Ramos0Rudolf Haraksim1Didier Meuwly2ATVS – Biometric Recognition Group, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/ Francisco Tomas y Valiente 11, 28049 Madrid, SpainLTS5 – Signal Processing Laboratory, École Polytechnique Fédérale de Lausanne, Faculty of Electrical Engineering, Station 11, CH-1015 Lausanne, SwitzerlandNetherlands Forensic Institute, Laan van Ypenburg 6, 2497GB The Hague, The NetherlandsData 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.http://www.sciencedirect.com/science/article/pii/S2352340916306680Method validationAutomatic interpretation methodStrength of evidenceAccreditationValidation reportLikelihood ratio data |
| spellingShingle | Daniel Ramos Rudolf Haraksim Didier Meuwly Likelihood ratio data to report the validation of a forensic fingerprint evaluation method Data in Brief Method validation Automatic interpretation method Strength of evidence Accreditation Validation report Likelihood ratio data |
| title | Likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| title_full | Likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| title_fullStr | Likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| title_full_unstemmed | Likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| title_short | Likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| title_sort | likelihood ratio data to report the validation of a forensic fingerprint evaluation method |
| topic | Method validation Automatic interpretation method Strength of evidence Accreditation Validation report Likelihood ratio data |
| url | http://www.sciencedirect.com/science/article/pii/S2352340916306680 |
| work_keys_str_mv | AT danielramos likelihoodratiodatatoreportthevalidationofaforensicfingerprintevaluationmethod AT rudolfharaksim likelihoodratiodatatoreportthevalidationofaforensicfingerprintevaluationmethod AT didiermeuwly likelihoodratiodatatoreportthevalidationofaforensicfingerprintevaluationmethod |