Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification-Reference-Cited by-同舟云学术

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Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification

Published:2024-05-07 Issue: Volume: Page:
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Yang Ziyuan,Teoh Andrew Beng Jin,Zhang Bob,Leng Lu,Zhang Yi^ORCID

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Sichuan University “From 0 to 1” Innovative Research Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11263-024-02077-9.pdf

Reference51 articles.

1. Han, C., Shan, S., Kan, M., Wu, S., & Chen, X. (2022). Personalized convolution for face recognition. International Journal of Computer Vision, 130(2), 344–362.

2. Gomez-Barrero, M., Drozdowski, P., Rathgeb, C., Patino, J., Todisco, M., Nautsch, A., Damer, N., Priesnitz, J., Evans, N. & Busch, C. (2021). Biometrics in the era of covid-19: Challenges and opportunities. arXiv preprint arXiv:2102.09258.

3. Zhang, D., Kong, W.-K., You, J., & Wong, M. (2003). Online palmprint identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1041–1050.

4. Xu, Y., Fei, L., Wen, J., & Zhang, D. (2018). Discriminative and robust competitive code for palmprint recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(2), 232–241.

5. Liang, X., Yang, J., Lu, G., & Zhang, D. (2021). Compnet: Competitive neural network for palmprint recognition using learnable Gabor kernels. IEEE Signal Processing Letters, 28, 1739–1743.

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