TY - GEN
T1 - Vein point cloud registration algorithm for multi-pose hand vein authentication
AU - Qi, Yong
AU - Zhou, Ya
AU - Zhou, Chang
AU - Hu, Xinran
AU - Hu, Xiaoming
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/23
Y1 - 2016/5/23
N2 - Traditional vein recognition technology is usually based on the 2D infrared images of hand vein. However, the hand vein patterns extracted from 2D images are seriously distorted with hand posture changes. A point cloud matching vein recognition system based on Kernel Correlation(KC) algorithm is designed, which provides a new perspective to hand vein recognition but also suffers from posture change because KC value is sensitive to coordinate shift. In this paper, a vein point cloud registration algorithm is proposed to improve the vein authentication under multi-pose. Experiments show that the point cloud registration algorithm can effectively improve the recognition rate. After the point cloud registration, when the hand posture changes limited to the range ± 20 degrees, the system can keep more than 90% recognition rate, the corresponding error rate is only 4%.
AB - Traditional vein recognition technology is usually based on the 2D infrared images of hand vein. However, the hand vein patterns extracted from 2D images are seriously distorted with hand posture changes. A point cloud matching vein recognition system based on Kernel Correlation(KC) algorithm is designed, which provides a new perspective to hand vein recognition but also suffers from posture change because KC value is sensitive to coordinate shift. In this paper, a vein point cloud registration algorithm is proposed to improve the vein authentication under multi-pose. Experiments show that the point cloud registration algorithm can effectively improve the recognition rate. After the point cloud registration, when the hand posture changes limited to the range ± 20 degrees, the system can keep more than 90% recognition rate, the corresponding error rate is only 4%.
UR - http://www.scopus.com/inward/record.url?scp=84977638222&partnerID=8YFLogxK
U2 - 10.1109/ISBA.2016.7477248
DO - 10.1109/ISBA.2016.7477248
M3 - Conference contribution
AN - SCOPUS:84977638222
T3 - ISBA 2016 - IEEE International Conference on Identity, Security and Behavior Analysis
BT - ISBA 2016 - IEEE International Conference on Identity, Security and Behavior Analysis
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2016
Y2 - 29 February 2016 through 2 March 2016
ER -