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Morphing Robust Face Recognition
Gavra, A.D. (2025) Morphing Robust Face Recognition.
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| Abstract: | Applications for safe access control, such as those in border management, rely on systems based on face, fingerprint, or iris recognition. As face recognition systems become increasingly prevalent, their vulnerability to morphing attacks has become a relevant topic of discussion. An example of a morphing attack is in airports, with some countries permitting the release of electronic Machine Readable Travel Documents with photos submitted by the applicant which are subsequently approved or rejected. By examining ways to avert morphing attacks (i.e., techniques to reject or accept an image), this paper proposes a system that considers how various image quality properties may influence morph rejection. The threshold used in the decision-making process, as well as the final prediction score, is based on image quality properties combined with the prediction score given by a face recognition system. In doing so, the possible relationship between an image’s quality properties, its similarity score, and BRISQUE is investigated. Further, to assess the validity of our performance enhancement claims, the chosen face recognition system will be tested both with and without taking image quality properties into account. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107531 |
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