Fraudulent ID using face morphs: Experiments on human and automatic recognition.

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...

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Main Authors: David J Robertson, Robin S S Kramer, A Mike Burton
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5362102?pdf=render
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author David J Robertson
Robin S S Kramer
A Mike Burton
author_facet David J Robertson
Robin S S Kramer
A Mike Burton
author_sort David J Robertson
collection DOAJ
description 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.
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spelling doaj.art-8c627de98ee74716a8a6a81f7cac8e022022-12-21T23:53:04ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01123e017331910.1371/journal.pone.0173319Fraudulent ID using face morphs: Experiments on human and automatic recognition.David J RobertsonRobin S S KramerA Mike BurtonMatching 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.http://europepmc.org/articles/PMC5362102?pdf=render
spellingShingle David J Robertson
Robin S S Kramer
A Mike Burton
Fraudulent ID using face morphs: Experiments on human and automatic recognition.
PLoS ONE
title Fraudulent ID using face morphs: Experiments on human and automatic recognition.
title_full Fraudulent ID using face morphs: Experiments on human and automatic recognition.
title_fullStr Fraudulent ID using face morphs: Experiments on human and automatic recognition.
title_full_unstemmed Fraudulent ID using face morphs: Experiments on human and automatic recognition.
title_short Fraudulent ID using face morphs: Experiments on human and automatic recognition.
title_sort fraudulent id using face morphs experiments on human and automatic recognition
url http://europepmc.org/articles/PMC5362102?pdf=render
work_keys_str_mv AT davidjrobertson fraudulentidusingfacemorphsexperimentsonhumanandautomaticrecognition
AT robinsskramer fraudulentidusingfacemorphsexperimentsonhumanandautomaticrecognition
AT amikeburton fraudulentidusingfacemorphsexperimentsonhumanandautomaticrecognition