Adding morph image to anti-fraud tool defends against morphed images

Two researchers say they have achieved “promising results” in one-upping the triplet-loss technique used to spot fraudulent face biometrics with a quadruplet-loss process.

The scientists, both working in Portugal, added a fourth image to the conventional three-image comparison technique used to spot facial recognition exploits including morphing. Their work has been posted on the Arxiv pre-peer review server.

Face morphing poses a significant threat to face biometrics, according to NIST computer scientist Mei Ngan during a presentation at the 2020 …

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