An Effective Facial Image Verification Based Attendance Management System

In this paper, we present an effective facial image verification based automated attendance management system (FIV-AMS). The proposed system can be divided into three main components: face detection, image pre-processing, and face recognition. The core step of our attendance management system is the Gist feature extraction based face recognition, which can achieve three functions. Experimental results demonstrate the validity and feasibility of the proposed system by using the statical model and the dynamic model.