This paper presents a method for automatic segmentation of images of faces captured in Long Wavelength Infrared (LWIR), allowing a wide range of face rotations, expressions and artifacts (such as glasses and hats). The paper presents a novel high accurate approach and compares its performance against three other previously published methods. The proposed approach uses active contours, morpholog...