A STN-Based Self-supervised Network for Dense Fingerprint Registration
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86608-2_31
Reference20 articles.
1. Lee, H.C., Gaensslen, R.E. (eds.): Advances in Fingerprint Technology. Elsevier, New York (1991)
2. Novikov, S.O., Ushmaev, O.S.: Effect of elastic deformation registration in fingerprint identification. Pattern Recognit. Image Anal. 16(1), 15–18 (2006)
3. Yu, Y., Wang, H., Chen, P., et al.: A new approach to external and internal fingerprint registration with multisensor difference minimization. IEEE Trans. Biometrics Behav. Identity Sci. 2(4), 363–376 (2020)
4. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, London (2009). https://doi.org/10.1007/978-1-84882-254-2
5. Cui, Z., Feng, J., Zhou, J.: Dense fingerprint registration via displacement regression network. In: 2019 International Conference on Biometrics (ICB), pp. 1–8. IEEE (2019)
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