Fingerprint Image Enhancement Method Based on U-Net Model
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7587-7_28
Reference8 articles.
1. Hong, L., Wan, Y., Jain, A.: Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 777–789 (1998). https://doi.org/10.1109/34.709565
2. He, Z., Liu, E., Xiang, Z.: Partial fingerprint verification via spatial transformer networks. In: 2020 IEEE International Joint Conference on Biometrics (IJCB), Houston, TX, USA, 2020, pp. 1–10. https://doi.org/10.1109/IJCB48548.2020.9304877
3. Han, K., Wang, Z., Chen, Z.: Fingerprint image enhancement method based on adaptive median filter. In: 2018 24th Asia-Pacific Conference on Communications (APCC), pp. 40–44 (2018).https://doi.org/10.1109/APCC.2018.8633498
4. Liban, A., Hilles, S.M.: Latent fingerprint enhancement based on directional total variation model with lost minutiae reconstruction. In: 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE), pp. 1–5 (2018). https://doi.org/10.1109/ICSCEE.2018.8538417
5. Szymkowski, M., Saeed, K.: A novel approach to fingerprint identification using method of sectorization. In: 2017 International Conference on Biometrics and Kansei Engineering (ICBAKE), Kyoto, Japan, pp. 55–59 (2017). https://doi.org/10.1109/ICBAKE.2017.8090613
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