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Digital capture of fingerprints in a disaster victim identification setting

A review and case study

Bibliographic Data

ID16964808
AuthorsBryan T Johnson (0000-0002-4326-6218, Federal Bureau of Investigation, corresponding author), John A J M Riemen (Korps Landelijke Politiediensten)
Year2019
Volume4
Issue4
Pages293-302
Publication date2019-10-02
Open AccessYes
TypeARTICLE
VenueForensic Sciences Research (JOURNAL)
Journal identifiersISSN: 2471-1411 • E-ISSN: 2096-1790
PublisherShanghai Institute of Optics and Fine Mechanics (PUBLISHER • CN)
DOI10.1080/20961790.2018.1521327
PMID32002488
OpenAlexW2900493299
LanguageEN
Citations received4
References cited11

Identification of victims following a mass fatality is conducted by collecting and analysing a series of scientific identifiers and contextual information of each decedent. Recently, there has been a paradigm shift demanding that this complex identification process be accelerated to meet the needs of the surviving families, politicians and even the media. Postmortem fingerprint identification is a fast and efficient means of victim identification, and through the use of new advances in technology, the digital capture of fingerprints in a disaster victim identification (DVI) setting will play a strong role. This paper provides an overview of current technology and explains how this technology can adapt to current DVI procedures. The Malaysian Airlines Flight 17 (MH17) incident is a recent example of a DVI event that utilized new digital fingerprint capture technology and further demonstrates why such technology is warranted in future mass fatality operations

Business · Computer security · Data science · Identifier · Biometric Identification and Security · Computer Science · Forensic Fingerprint Detection Methods · Geophysical Methods and Applications

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    Open Access•Zixuan Zeng, Ishmael Dikeledi et al.•Forensic Sciences Research•2023

  • Exploring Technologies to Better Link Physical Evidence and Digital Information for Disaster Victim Identification

    Open Access•David Lovell, Kellie Vella et al.•Forensic Sciences Research•2022

  • Friction ridge analysis in disaster victim identification (DVI)

    Open Access•Marco Antonio de Souza, G Urtiaga et al.•Forensic Sciences Research•2021

  • Modern advances in disaster victim identification

    Open Access•Peter Ellis•Forensic Sciences Research•2019

Citations per year0.57
Citation span2019 - 2023 (5)
Highly citedNo

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