Dorsal hand vein recognition based on transmission-type near infrared imaging and deep residual network with attention mechanism
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Atomic and Molecular Physics, and Optics
Link
https://link.springer.com/content/pdf/10.1007/s10043-022-00750-3.pdf
Reference26 articles.
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2. Huang, D., Tang, Y., Wang, Y., Chen, L., Wang, Y.: Hand-dorsa vein recognition by matching local features of multisource key points. IEEE Trans. Cybern. 45(9), 1823–1837 (2015)
3. Wang, J., Wang, G.: Hand-dorsa vein recognition with structure growing guided CNN. Optik 149, 469–477 (2017)
4. Matsuda, Y., Miura, N., Nagasaka, A., Kiyomizu, H., Miyatake, T.: Finger-vein authentication based on deformation-tolerant feature-point matching. Mach. Vis. Appl. 27, 237–250 (2016)
5. Qin, H., Yacoubi, M., Lin, J., Liu, B.: An iterative deep neural network for hand-vein verification. IEEE Access 7, 34823–34837 (2019)
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1. Feature-Fused Deep Convolutional Neural Network for Dorsal Hand Vein Recognition;Biometric Recognition;2023
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