TY - JOUR
T1 - Fraudulent ID using face morphs: Experiments on human and automatic recognition
AU - Robertson, David J.
AU - Kramer, Robin S.S.
AU - Burton, A. Mike
N1 - Funding Information:
The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n.323262, and from the Economic and Social Research Council, UK (ES/ J022950/1). http://erc.europa.eu/; http://www.esrc. ac.uk/. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript
Publisher Copyright:
© 2017 Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3
Y1 - 2017/3
N2 - Matching unfamiliar faces is known to be difficult, and this can give an opportunity to those engaged in identity fraud. Here we examine a relatively new form of fraud, the use of photo-ID containing a graphical morph between two faces. Such a document may look sufficiently like two people to serve as ID for both. We present two experiments with human viewers, and a third with a smartphone face recognition system. In Experiment 1, viewers were asked to match pairs of faces, without being warned that one of the pair could be a morph. They very commonly accepted a morphed face as a match. However, in Experiment 2, following very short training on morph detection, their acceptance rate fell considerably. Nevertheless, there remained large individual differences in people's ability to detect a morph. In Experiment 3 we show that a smartphone makes errors at a similar rate to 'trained' human viewers-i.e. accepting a small number of morphs as genuine ID. We discuss these results in reference to the use of face photos for security.
AB - Matching unfamiliar faces is known to be difficult, and this can give an opportunity to those engaged in identity fraud. Here we examine a relatively new form of fraud, the use of photo-ID containing a graphical morph between two faces. Such a document may look sufficiently like two people to serve as ID for both. We present two experiments with human viewers, and a third with a smartphone face recognition system. In Experiment 1, viewers were asked to match pairs of faces, without being warned that one of the pair could be a morph. They very commonly accepted a morphed face as a match. However, in Experiment 2, following very short training on morph detection, their acceptance rate fell considerably. Nevertheless, there remained large individual differences in people's ability to detect a morph. In Experiment 3 we show that a smartphone makes errors at a similar rate to 'trained' human viewers-i.e. accepting a small number of morphs as genuine ID. We discuss these results in reference to the use of face photos for security.
UR - http://www.scopus.com/inward/record.url?scp=85015825025&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0173319
DO - 10.1371/journal.pone.0173319
M3 - Article
C2 - 28328928
AN - SCOPUS:85015825025
SN - 1932-6203
VL - 12
JO - PLoS One
JF - PLoS One
IS - 3
M1 - e0173319
ER -