U.S. flag

An official website of the United States government, Department of Justice.

NCJRS Virtual Library

The Virtual Library houses over 235,000 criminal justice resources, including all known OJP works.
Click here to search the NCJRS Virtual Library

Facial Recognition From DNA Using Face-to-DNA Classifiers

NCJ Number
254032
Journal
Nature Communications Volume: 10 Dated: 2019
Author(s)
Dzemila Sero; Arsian Zaidi; Jiarui Li; Julie D. White; Tomas B, Gonzalez-Zarzar; Mary L. Marazita; Seth M. Weinberg; Paul Suetens; Dirk Vandermeulen; Jennifer Wagner; Mark D. Shriver; Peter Claes
Date Published
2019
Length
9 pages
Annotation
This project established another proof of concept to biometric authentication by using multiple face-to-DNA classifiers, each classifying given faces by a DNA-encoded aspect (sex, genomic background, individual genetic loci), or by a DNA-inferred aspect (BMI, age).
Abstract

Facial recognition from DNA refers to the identification or verification of unidentified biological material against facial images with known identity. One approach to establish the identity of unidentified biological material is to predict the face from DNA, and subsequently to match against facial images; however, DNA phenotyping of the human face remains challenging. In the current project, face-to-DNA classifiers on distinct DNA aspects were fused into one matching score for any given face against DNA. In a globally diverse, and subsequently in a homogeneous cohort, the project demonstrated preliminary, but substantial true (83 percent, 80 percent) over false (17 percent, 20 percent) matching in verification mode. Consequences of future efforts include forensic applications, necessitating careful consideration of ethical and legal implications for privacy in genomic databases. (publisher abstract modified)