A Palm-vein recognition algorithm based on LPP and HM-LBP

2018 2nd International Workshop on Renewable Energy and Development

能源学;经济学

Xiumei, Guo^1 ; Chengyi, Wang^1 ; Ping, Zhang^1

School of Information Science and Engineering, Shandong Agricultural University, Taian

271018, China^1

关键词: Local binary patterns;    Locality preserving projections;    Multi-scale;    Multi-spectral;    Near Infrared;    Normalized correlation;    Palm vein recognition;    Recognition accuracy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/3/032027/pdf
DOI  :  10.1088/1755-1315/153/3/032027

来源: IOP

【 摘 要 】

In this paper, an algorithm based on locality preserving projection (LPP) for palm-vein was proposed. The feature of palm-vein was extracted by Hierarchical multiscale local binary pattern(HM-LBP), and then the dimension was reduced by LPP. Lastly, the palm-vein was classified by normalized correlation classifier. The algorithm was tested on the near- infrared database of the multi-spectral palm database of Hong Kong polytechnic university. The experiment results show that the algorithm can achieve ideal recognition accuracy of 99.92% and the speediness is able to fit for the real-time palm-vein recognition system.