Biometric identification of newborns and infants by non-contact fingerprinting: lessons learned.

infant biometrics infant fingerprinting infant identification newborn identification non-contact fingerprinting

Journal

Gates open research
ISSN: 2572-4754
Titre abrégé: Gates Open Res
Pays: United States
ID NLM: 101717821

Informations de publication

Date de publication:
2019
Historique:
accepted: 09 05 2019
entrez: 15 8 2019
pubmed: 15 8 2019
medline: 15 8 2019
Statut: epublish

Résumé

Despite years of effort, reliable biometric identification of newborns and young children has remained elusive. In this paper, we review the importance of trusted identification methods, the biometric landscape for infants and adults, barriers and success stories, and we discuss specific failure modes particular to young children. We then describe our approach to infant identification using non-contact optical imaging of fingerprints. We detail our technology development history, including Human-Centered Design methods, various iterations of our platform, and how these iterations addressed failure modes in the identification process. We close with a brief description of our clinical trial of newborns and infants at an urban hospital in Mexico and report preliminary results that show high accuracy, with matching rates consistent with acceptable field-performance for reliable biometric identification in large populations.

Identifiants

pubmed: 31410396
doi: 10.12688/gatesopenres.12914.1
pmc: PMC6667827
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1477

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Références

Birth Defects Orig Artic Ser. 1991;27(2):95-112
pubmed: 1786361
Arch Dermatol. 1991 Jul;127(7):1000-5
pubmed: 2064396

Auteurs

Steven Saggese (S)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Yunting Zhao (Y)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Tom Kalisky (T)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Courtney Avery (C)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Deborah Forster (D)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Lilia Edith Duarte-Vera (L)

Campus ECISALUD, Universidad Autonoma de Baja-California, Tijuan, Baja-California, Mexico.

Lucila Alejandra Almada-Salazar (LA)

Campus ECISALUD, Universidad Autonoma de Baja-California, Tijuan, Baja-California, Mexico.

Daniel Perales-Gonzalez (D)

Campus ECISALUD, Universidad Autonoma de Baja-California, Tijuan, Baja-California, Mexico.

Alexandra Hubenko (A)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.

Michael Kleeman (M)

School of Global Policy and Strategy, University of California San diego, La Jolla, Ca, 92093, USA.

Enrique Chacon-Cruz (E)

Campus ECISALUD, Universidad Autonoma de Baja-California, Tijuan, Baja-California, Mexico.
Pediatric Infectious Diseases, General Hospital of Tijuana, Tijuana, Baja-California, Mexico.

Eliah Aronoff-Spencer (E)

California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.
Division of Infectious Diseases and Global Public Health, University of California San Diego Medical Center, La Jolla, Ca, 92093, USA.
The Design Lab, University of California, San Diego, La Jolla, Ca, 92093, USA.

Classifications MeSH