Organ-Based Facial Verification Using Thermal Camera

Abstract

So far, most of the facial recognition methods focus on visual image texture and color information. Although they have worked well, most of them still fail to deal with severe illumination changes. In this paper, a novel approach is proposed for facial verification by analyzing thermal data from different organs of the human face. This new thermal facial pattern is free from illumination changes and can even work in a very dark place. In this experiment, facial thermal data were collected from 30 people with diverse genders, ages, and races. Three persons were tracked to verify the consistency of the thermal pattern in normal circumstances, changing light conditions and different physical conditions. A new distance function is introduced for pattern similarity measurement. The proposed approach successfully distinguished different persons with a high verification rate 91.26% according to F-measure and displayed the thermal pattern changes according to different physical conditions.