An image edge mask for face identity verification

In this paper, we propose an image edge mask method for face identity verification. The method uses a mask matrix arising from edge detection to extract essential facial information via a Hadamard-Schur product to form a feature template. Several edge detectors have been experimented and our empirical observations show encouraging results. Apart from using an edge mask, the proposed method is generic in the sense that it can be easily extended using different image masks for direct and fast feature extraction.