University of Twente Student Theses
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Face unmorphing
Witlox, K.H.D. (2019) Face unmorphing.
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| Abstract: | After the recent introduction of Automated Border Con- trol systems that rely on face recognition as a biometric method, a vulnerability has come to light that poses a security thread to international travel. Both human in- spectors and face recognition software can be fooled by morphed images of two subjects, making it possible for fugitives to evade detection by hiding in an innocent face. Morph attack detection methods based on morphing ar- tifacts have not provided satisfying results thus, in this research, a novel detection method is proposed based on subtracting a photo ID from a live capture reference and using the result to train a classifier. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Keywords: | Face morph, Morphing attack, Automatic face recognition, Morph detection |
| Link to this item: | https://purl.utwente.nl/essays/78802 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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