Abstract
Face recognition by human officials remains the predominant method of identity verification in security-critical contexts (e.g., passport renewal, border control). The integrity of this process can be compromised by sophisticated fraud attacks using digitally manipulated face images. In this study we examine whether human observers can robustly detect digitally manipulated passport photos and whether super-recognisers (SRs), individuals who excel at identity recognition, outperform typical recogniser controls. Here, we present some findings from the initial analysis.
| Original language | English |
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| Number of pages | 1 |
| Publication status | Published - 21 Nov 2024 |
| Event | Combatting ID Fraud: New Tools for Image Manipulation Detection - Brussels, Belgium Duration: 21 Nov 2024 → 21 Nov 2024 https://imars-project.eu/ |
Conference
| Conference | Combatting ID Fraud |
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| Country/Territory | Belgium |
| City | Brussels |
| Period | 21/11/24 → 21/11/24 |
| Internet address |
Funding
This research was supported by the European Union’s Horizon 2020 research and innovation program [No. 883356; iMARS], the German Federal Ministry of Education and Research, and the Hessen State Ministry for Higher Education, Research, and the Arts within their joint support of the National Research Centre for Applied Cybersecurity [ATHENE].
Keywords
- super-recognisers
- identity fraud
- image manipulation
- individual differences
- passport photos
