Fingerprint Classification and Indexing
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-83624-5_5
Reference129 articles.
1. Bai, C., Li, M., Zhao, T., & Wang, W. (2018a). Learning binary descriptors for fingerprint indexing. IEEE Access, 6, 1583–1594.
2. Bai, C., Wang, W., Zhao, T., & Li, M. (2018b). Fast exact fingerprint indexing based on compact binary minutia cylinder codes. Neurocomputing, 275, 1711–1724.
3. Bai, C., Wang, W., Zhao, T., Wang, R., & Li, M. (2018c). Deep learning compact binary codes for fingerprint indexing. Frontiers of Information Technology & Electronic Engineering, 19, 1112–1123.
4. Bai, C., Zhao, T., Wang, W., & Wu, M. (2015). An efficient indexing scheme based on K-plet representation for fingerprint database. In Proceedings International Conference on Intelligent Computing.
5. Ballan, M., Sakarya, F. A., & Evans, B. L. (1997). A fingerprint classification technique using directional images. In Proceedings of Asilomar Conference on Signals Systems and Computers.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Benchmarking Fixed-Length Fingerprint Representations Across Different Embedding Sizes and Sensor Types;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20
2. Analysis of Minutiae Quality for Improved Workload Reduction in Fingerprint Identification;2022 International Conference of the Biometrics Special Interest Group (BIOSIG);2022-09
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