(NIST: Gaithersburg, MD) -- Face morphing software, which can blend photos of different people’s faces into a single synthesized image, can make it easier for bad actors to bypass identity verification systems in buildings, at borders, in airports, and in other settings. Morphed photos can deceive face recognition systems into falsely identifying the image as belonging to both original individuals, allowing the first individual to assume the second person’s identity and vice versa.

To address this issue, the National Institute of Standards and Technology (NIST) has released guidelines that can help organizations deploy and use modern detection methods designed to catch morph attacks before they succeed.

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