Literature DB >> 29889979

Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set.

Arent de Jongh1, Anko R Lubach1, Sheryl L Lie Kwie1, Ivo Alberink1.   

Abstract

Latent print examiners often use their experience and knowledge to reach a conclusion on the identity of the source. Their conclusion is primarily based on their personal opinion on the rarity of the matching fingerprint features. Fingerprint patterns, if present, can play a significant role in the final assessment of a match. The authors believe that statistical data on the rarity of fingerprint patterns strengthens the subjective evaluation of the corresponding information. In order to provide fingerprint examiners with additional numerical support, fingerprint patterns were manually classified in a set of 24,104 fingerprints. In this study the frequencies of occurrence of 35 different fingerprint patterns have been obtained. The frequency data presented in this study can be used in the ACE-V process applied in forensic casework, allowing for the assessment of the evidential strength related to a specific fingerprint pattern type.
© 2018 American Academy of Forensic Sciences.

Entities:  

Keywords:  evidential strength; extended classification set; fingermark; fingerprint classification; fingerprints; forensic science; frequencies; pattern; probabilistic; rarity

Year:  2018        PMID: 29889979     DOI: 10.1111/1556-4029.13838

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

Review 1.  Interpol review of fingermarks and other body impressions 2016-2019.

Authors:  Andy Bécue; Heidi Eldridge; Christophe Champod
Journal:  Forensic Sci Int       Date:  2020-03-17       Impact factor: 2.395

2.  Fingerprint analysis for the determination of hand origin (right/left) using the axis slant in whorl patterns.

Authors:  Neeti Kapoor; Ashish Badiye; Swati Dubey Mishra
Journal:  Forensic Sci Res       Date:  2020-08-12

Review 3.  Human factors in forensic science: The cognitive mechanisms that underlie forensic feature-comparison expertise.

Authors:  Bethany Growns; Kristy A Martire
Journal:  Forensic Sci Int Synerg       Date:  2020-05-21
  3 in total

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