Cross-Area Finger Vein Recognition via Hierarchical Sparse Representation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8469-5_7
Reference25 articles.
1. Qin, H., Hu, R., El-Yacoubi, M.A., Li, Y., Gao, X.: Local attention transformer-based full-view finger-vein identification. IEEE Trans. Circuits Syst. Video Technol. 33(6), 2767–2782 (2022)
2. Li, S., Ma, R., Fei, L., Zhang, B.: Learning compact multirepresentation feature descriptor for finger-vein recognition. IEEE Trans. Inf. Forensics Secur. 17, 1946–1958 (2022)
3. Yang, L., Liu, X., Yang, G., Wang, J., Yin, Y.: Small-area finger vein recognition. IEEE Trans. Inf. Forensics Secur. 18, 1914–1925 (2023)
4. Song, Y., Zhao, P., Yang, W., Liao, Q., Zhou, J.: EIFNet: an explicit and implicit feature fusion network for finger vein verification. IEEE Trans. Circuits Syst. Video Technol. 33(5), 2520–2532 (2023)
5. Shazeeda, S., Rosdi, B.A.: Nearest centroid neighbor based sparse representation classification for finger vein recognition. IEEE Access 7, 5874–5885 (2019)
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