TY - GEN
T1 - On projection-based methods for periocular identity verification
AU - Oh, Beom Seok
AU - Oh, Kangrok
AU - Toh, Kar Ann
PY - 2012
Y1 - 2012
N2 - The periocular biometric comes into the spotlight recently due to several advantageous characteristics such as easily available and provision of crucial face information. However, many existing works are dedicated to extracting image features using texture based techniques such as local binary pattern (LBP). In view of the simplicity and effectiveness offered, this paper proposes to investigate into projection-based methods for periocular identity verification. Several well established projection-based methods such as principal component analysis, its variants and linear discriminant analysis will be adopted in our performance evaluation based on a subset of FERET face database. Our empirical results show that supervised learning methods significantly outperform those unsupervised learning methods and LBP in terms of equal error rate performance.
AB - The periocular biometric comes into the spotlight recently due to several advantageous characteristics such as easily available and provision of crucial face information. However, many existing works are dedicated to extracting image features using texture based techniques such as local binary pattern (LBP). In view of the simplicity and effectiveness offered, this paper proposes to investigate into projection-based methods for periocular identity verification. Several well established projection-based methods such as principal component analysis, its variants and linear discriminant analysis will be adopted in our performance evaluation based on a subset of FERET face database. Our empirical results show that supervised learning methods significantly outperform those unsupervised learning methods and LBP in terms of equal error rate performance.
UR - http://www.scopus.com/inward/record.url?scp=84871688848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871688848&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2012.6360847
DO - 10.1109/ICIEA.2012.6360847
M3 - Conference contribution
AN - SCOPUS:84871688848
SN - 9781457721175
T3 - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
SP - 871
EP - 876
BT - Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
T2 - 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Y2 - 18 July 2012 through 20 July 2012
ER -