AUTOMATIC TELLER MACHINES CONTROL TECHNIQUE BASED ON FACE RECOGNITION

Abstract

A normal face detection algorithm as an application of the still image processing techniques is presented in this paper. We define "normal face" as a face without sunglasses or a mask, and "abnormal face" as that wearing both, or either one of them. The proposed algorithm is composed of two stages: the eye detection stage and the mouth detection stage. We tried to apply it to the user identification procedure of ATMs (automatic teller machines), in order to distinguish non-acceptable users from the acceptable. Experimental results show that the proposed algorithm can distinguish abnormal faces from normal faces accurately from restrictive sample images.