Digital capture of fingerprints in a disaster victim identification setting
A review and case study
Bibliographic Data
| ID | 16964808 |
|---|---|
| Authors | Bryan T Johnson (0000-0002-4326-6218, Federal Bureau of Investigation, corresponding author), John A J M Riemen (Korps Landelijke Politiediensten) |
| Year | 2019 |
| Volume | 4 |
| Issue | 4 |
| Pages | 293-302 |
| Publication date | 2019-10-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Forensic Sciences Research (JOURNAL) |
| Journal identifiers | ISSN: 2471-1411 • E-ISSN: 2096-1790 |
| Publisher | Shanghai Institute of Optics and Fine Mechanics (PUBLISHER • CN) |
| DOI | 10.1080/20961790.2018.1521327 |
| PMID | 32002488 |
| OpenAlex | W2900493299 |
| Language | EN |
| Citations received | 4 |
| References cited | 11 |
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
A bibliometric analysis of research trends for missing persons globally and in East Asia from 2000 to 2021
Exploring Technologies to Better Link Physical Evidence and Digital Information for Disaster Victim Identification
Friction ridge analysis in disaster victim identification (DVI)
Modern advances in disaster victim identification
| Citations per year | 0.57 |
|---|---|
| Citation span | 2019 - 2023 (5) |
| Highly cited | No |