TY - GEN
T1 - Direct extraction and fusion of image pixel features for face identity verification
AU - Oh, Beom Seok
AU - Toh, Kar Ann
AU - Teoh, Andrew Beng Jin
PY - 2010
Y1 - 2010
N2 - In this paper, we propose to adopt an entry-wise Hadamard-Schur (HS) product to extract facial information directly from raw face image pixels. With the goal of extracting relevant pixel features from each image, four different HS projection matrices which consist of directional binary patterns are proposed. Subsequently, the match score outputs from these four HS projections are fused via a total error rate minimization for performance enhancement. Our empirical experiments show encouraging performance in terms of verification accuracy.
AB - In this paper, we propose to adopt an entry-wise Hadamard-Schur (HS) product to extract facial information directly from raw face image pixels. With the goal of extracting relevant pixel features from each image, four different HS projection matrices which consist of directional binary patterns are proposed. Subsequently, the match score outputs from these four HS projections are fused via a total error rate minimization for performance enhancement. Our empirical experiments show encouraging performance in terms of verification accuracy.
UR - https://www.scopus.com/pages/publications/78650376421
U2 - 10.1109/BTAS.2010.5634516
DO - 10.1109/BTAS.2010.5634516
M3 - Conference contribution
AN - SCOPUS:78650376421
SN - 9781424475803
T3 - IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010
BT - IEEE 4th International Conference on Biometrics
T2 - 4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010
Y2 - 27 September 2010 through 29 September 2010
ER -