Detecting people wearing masks to prevent impersonation attacks

A system for determining whether a user is wearing a mask, comprising:

• at least one processor configured to execute a code, the code comprising:
• code instruction to receive at least one infrared image depicting a face of a user in at least one infrared spectral range and at least one visible light image depicting the face of the user in visible light spectral range;
• code instruction to register the at least one infrared image to the at least one visible light image;
• code instruction to compute luminance values of a plurality of pixels relating to the face of the user in the at least one visible light image;
• code instruction to compute luminance values of corresponding pixels in the registered at least one infrared light image;
• code instruction to compute a difference between the luminance value of each pixel in the at least one visible light image and the luminance value of the corresponding pixel in the at least one infrared light image;
• and
• code instruction to determine the user is genuine and not wearing a mask in case an aggregated difference aggregating the difference values of the pixels relating to the face exceeds a certain value.

A computer program product for determining whether a user is wearing a mask, comprising, comprising a non-transitory computer readable medium storing thereon computer program instructions which, when executed by at least one hardware processor, cause the at least one hardware processor to:

• receive at least one infrared image depicting a face of a user in at least one infrared spectral range and at least one visible light image depicting the face of the user in visible light spectral range;
• register the at least one infrared image to the at least one visible light image;
• compute luminance values of a plurality of pixels relating to the face of the user in the at least one visible light image;
• compute luminance values of corresponding pixels in the registered at least one infrared light image;
• computer a difference between the luminance value of each pixel in the at least one visible light image and the luminance value of the corresponding pixel in the at least one infrared light image;
• and
• determine the user is genuine and not wearing a mask in case an aggregated difference aggregating the difference values of the pixels relating to the face exceeds a certain value.