University of Twente Student Theses
Morphing robust face recognition
Szabó, Krisztián (2022) Morphing robust face recognition.
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| Abstract: | The increased accessibility of face morphing software poses a threat to face recognition systems due to their vulnerability to face morphing attacks. An attacker can merge a picture of themselves with another similar but distinctlooking person, and current face recognition systems would consider the picture to match both persons. After creating an ID with such picture, the ID would no longer be considered unique. This research aims to combat such attacks by creating a shape-free representation for face recognition and measuring its accuracy against other open-source face recognition software. Using the PUT face database, 50 peoples faces have been morphed and warped to generate 4 datasets, to find out if warping could help with improving facial recognition systems by making them robust against morphing attacks. |
| 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/94911 |
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