Abstract: A method for detecting forgery in facial recognition is disclosed that comprises selecting (110) an illumination pattern including at least three illumination intensities; controlling (120) a light-emitting device (220) to emit light pulses, according to the illumination pattern; capturing (130) with a camera (210) a respective image of an eye region (15) of a face (10) during each emitted light pulse; determining (140) whether a glint (20) is present in the eye region (15) of each captured image; measuring (150) a glint intensity of each determined glint (20); extracting (160) 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 (180) a signal that the face (10) is forged, if one or more of the extracted numerical features does not correspond to a reference numerical feature.