Fingerprint Indexing with Minutiae-Aided Fingerprint Multiscale Representation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47634-1_26
Reference36 articles.
1. Bhanu, B., Tan, X.: A triplet based approach for indexing of fingerprint database for identification. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 205–210. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45344-X_29
2. Bhanu, B., Tan, X.: Fingerprint indexing based on novel features of minutiae triplets. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 616–622 (2003). https://doi.org/10.1109/TPAMI.2003.1195995
3. Cao, K., Jain, A.K.: Fingerprint indexing and matching: an integrated approach. In: 2017 IEEE International Joint Conference on Biometrics, pp. 437–445 (2017). https://doi.org/10.1109/BTAS.2017.8272728
4. Cao, K., Jain, A.K.: Automated latent fingerprint recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(4), 788–800 (2019). https://doi.org/10.1109/TPAMI.2018.2818162
5. Cao, K., Nguyen, D., Tymoszek, C., Jain, A.K.: End-to-end latent fingerprint search. IEEE Trans. Inf. Forensics Secur. 15, 880–894 (2020). https://doi.org/10.1109/TIFS.2019.2930487
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