Abstract
This paper presents a lock-control system using face identification. There are three main processes in the face identification : 1) extraction of a face from an input image, 2) normalization of the size and inclination of the face image, 3) matching of its facial features (eye, nose and mouth). Thresholds of matching are determined by statistical estimations. As results of experiments, the correct acceptance rate was 92.2% and the correct rejection rate was 99.6%. Additionally, sectionally adaptive correlation method for higher robustness against fluctuation of lighting condition is proposed.
