@inproceedings{16bcb48e87df4ec4afb8649a255c486d,
title = "3D feature array involved registration algorithm for multi-pose hand vein authentication",
abstract = "Traditional hand vein recognition technology is usually based on 2D infrared images in which the hand vein patterns are unavoidable distorted with hand posture changes. Point cloud matching vein recognition based on Kernel Correlation method provides a new perspective to hand vein recognition but also suffers from posture change. In this paper, a 3D point cloud registration algorithm is proposed to improve the vein authentication under multi-pose. An improved Normal Distributions Transform algorithm is introduced and the coarse alignment based on 3D feature array is designed, which is capable of eliminating the influence of global coordinate shift between the point clouds. Experiments show that the 3D feature array involved registration algorithm can effectively improve the recognition rate. After the point cloud registration, the system can keep more than 90% recognition rate with the corresponding error rate is as low as 4% when the hand posture changes in the range ± 20 degrees.",
author = "Yong Qi and Ya Zhou and Chang Zhou and Xinran Hu and Xiaoming Hu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 9th IAPR International Conference on Biometrics, ICB 2016 ; Conference date: 13-06-2016 Through 16-06-2016",
year = "2016",
month = aug,
day = "23",
doi = "10.1109/ICB.2016.7550061",
language = "English",
series = "2016 International Conference on Biometrics, ICB 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Fernando Alonso-Fernandez and Arun Ross and Raymond Veldhuis and Julian Fierrez and Li, {Stan Z.} and Josef Bigun",
booktitle = "2016 International Conference on Biometrics, ICB 2016",
address = "United States",
}