Robertson, David J., Kramer, Robin S.S. and Burton, A. Mike orcid.org/0000-0002-2035-2084 (2017) Fraudulent ID using face morphs:Experiments on human and automatic recognition. PLoS ONE. e0173319. ISSN 1932-6203
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Robertson et al. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION 20120411 ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC) ES/J022950/2 |
Depositing User: | Pure (York) |
Date Deposited: | 10 May 2017 09:40 |
Last Modified: | 18 Dec 2024 00:09 |
Published Version: | https://doi.org/10.1371/journal.pone.0173319 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1371/journal.pone.0173319 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116210 |