Abstract: Implementations of the present disclosure include receiving a color image and an IR image, the IR image taken contemporaneously with the color image, providing a set of facial landmarks depicted in the color image, determining a depth value for each facial landmark in the set of color landmarks, depth values being provided from the IR image, determining an average depth difference based on at least a sub-set of facial landmarks in the set of facial landmarks, comparing the average depth difference to a difference threshold to provide a comparison, and selectively authenticating the person based on the comparison.

Abstract: Implementations of the present disclosure include applying UV light to a first target identification, generating a first UV image of the first target identification, and determining that a model brightness fingerprint is unavailable for the first target identification, and in response: calculating a region brightness value for a particular region of the first target identification based on the first UV image, calculating an identification brightness value for the first target identification based on the first UV image, and comparing the region brightness value to the identification brightness value to determine whether the first target identification has been tampered with.

Abstract: Implementations of the present disclosure include receiving a color image and an IR image, the IR image taken contemporaneously with the color image, providing a set of facial landmarks depicted in the color image, determining a depth value for each facial landmark in the set of color landmarks, depth values being provided from the IR image, determining an average depth difference based on at least a sub-set of facial landmarks in the set of facial landmarks, comparing the average depth difference to a difference threshold to provide a comparison, and selectively authenticating the person based on the comparison.