TY - GEN
T1 - Local Orientation Binary Pattern with Use for Palmprint Recognition
AU - Fei, Lunke
AU - Xu, Yong
AU - Teng, Shaohua
AU - Zhang, Wei
AU - Tang, Wenliang
AU - Fang, Xiaozhao
N1 - Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - In this paper, we extensively exploit the discriminative orientation features of palmprint, including the principal orientation and corresponding orientation confidence, and further propose a local orientation binary pattern (LOBP) for palmprint recognition. Different from the existing binary based representation methods, the LOBP method first captures the principal orientation consistency by comparing the center point with the neighbor sets, and then captures the confidence variations by thresholding the center confidence with neighborhoods so as to obtain orientation binary pattern (OBP) and confidence binary pattern (CBP), respectively. Furthermore, the block-wise statistics of OBP and CBP are concentrated to generate a novel descriptor, namely LOBP, of palmprint. Experiment results on different types of palmprint databases demonstrate the effectiveness of the proposed method.
AB - In this paper, we extensively exploit the discriminative orientation features of palmprint, including the principal orientation and corresponding orientation confidence, and further propose a local orientation binary pattern (LOBP) for palmprint recognition. Different from the existing binary based representation methods, the LOBP method first captures the principal orientation consistency by comparing the center point with the neighbor sets, and then captures the confidence variations by thresholding the center confidence with neighborhoods so as to obtain orientation binary pattern (OBP) and confidence binary pattern (CBP), respectively. Furthermore, the block-wise statistics of OBP and CBP are concentrated to generate a novel descriptor, namely LOBP, of palmprint. Experiment results on different types of palmprint databases demonstrate the effectiveness of the proposed method.
KW - Biometric
KW - Confidence binary pattern
KW - Orientation binary pattern
KW - Palmprint recognition
UR - https://www.scopus.com/pages/publications/85032670879
U2 - 10.1007/978-3-319-69923-3_23
DO - 10.1007/978-3-319-69923-3_23
M3 - 会议稿件
AN - SCOPUS:85032670879
SN - 9783319699226
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 213
EP - 220
BT - Biometric Recognition - 12th Chinese Conference, CCBR 2017, Proceedings
A2 - Wang, Yunhong
A2 - Qiao, Yu
A2 - Zhou, Jie
A2 - Feng, Jianjiang
A2 - Sun, Zhenan
A2 - Guo, Zhenhua
A2 - Shan, Shiguang
A2 - Shen, Linlin
A2 - Yu, Shiqi
A2 - Xu, Yong
PB - Springer Verlag
T2 - 12th Chinese Conference on Biometric Recognition, CCBR 2017
Y2 - 28 October 2017 through 29 October 2017
ER -