Personal Authentication from Video using Handheld Camera by Parametric Eigenspace Method

Abstract

We propose a new authentication system using video which is taken during moving handheld camera in front of the face. The proposed system uses the parametric eigenspace method to extract both individuality and motion features from the obtained image sequences. The proposed method employs the DP-matching to calculate the track similarity. We conducted verification to show the effectiveness of proposal. The experimental results show that continuous tracks plotted on the multidimensional eigenspace contain motion features. And by the experiment verifying the accuracy, we achieved EER=3.2% .