VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark

Author:

Zhao PengyangORCID,Song YizhuoORCID,Wang Siqi,Xue Jing-HaoORCID,Zhao ShupingORCID,Liao QingminORCID,Yang WenmingORCID

Funder

Special Foundation for the Development of Strategic Emerging Industries of Shenzen Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. M. Kono, A new method for the identification of individuals by using of vein pattern matching of a finger, in: Symposium on Pattern Measurement, 2000, pp. 9–12.

2. Finger vein recognition with anatomy structure analysis;Yang;IEEE Trans. Circuits Syst. Video Technol.,2018

3. ArcVein: Arccosine center loss for finger vein verification;Hou;IEEE Trans. Instrum. Meas.,2021

4. The neglected background cues can facilitate finger vein recognition;Zhao;Pattern Recognit.,2023

5. Finger vein presentation attack detection using total variation decomposition;Qiu;IEEE Trans. Inf. Forensics Secur.,2018

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1. Fine-tuned Siamese neural network–based multimodal vein biometric system with hybrid firefly–particle swarm optimization;Journal of Electronic Imaging;2024-08-02

2. Finger Vein Authentication Using Vision Transformer;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition;IEEE Transactions on Image Processing;2024

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