Method for detecting forgery in facial recognition and computer readable medium and vehicle for performing such method

Abstract

A method for detecting forgery in facial recognition is disclosed that comprises selecting () an illumination pattern including at least three illumination intensities; controlling () a light-emitting device () to emit light pulses, according to the illumination pattern; capturing () with a camera () a respective image of an eye region () of a face () during each emitted light pulse; determining () whether a glint () is present in the eye region () of each captured image; measuring () a glint intensity of each determined glint (); extracting () a respective numerical feature for each captured image, the numerical feature representing a curve of all measured glint intensities at the glint intensity of the respective image; and outputting () a signal that the face () is forged, if one or more of the extracted numerical features does not correspond to a reference numerical feature. Furthermore, a computer-readable medium storing instructions to perform the method, and a vehicle () comprising a processor () capable of performing such method.