TY - GEN
T1 - An image edge mask for face identity verification
AU - Toh, Kar Ann
AU - Oh, Beom Seok
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77956047889&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2010.5516848
DO - 10.1109/ICIEA.2010.5516848
M3 - Conference contribution
AN - SCOPUS:77956047889
SN - 9781424450466
T3 - Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
SP - 301
EP - 306
BT - Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
T2 - 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010
Y2 - 15 June 2010 through 17 June 2010
ER -