SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Leticia Pereira(leticia.pereira@lsbd.ufc.br)
2 Tamires Paulino(tamirespaulino19@alu.ufc.br)
3 José Maria Monteiro Filho(monteiro@dc.ufc.br)
4 Javam Machado(javam.machado@lsbd.ufc.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 [Bakheet et al. 2022a] Bakheet, S., Al-Hamadi, A., e Youssef, R. (2022a). A fingerprint-based verification framework using harris and surf feature detection algorithms. Applied Sciences, 12(4):202
2 [Bakheet et al. 2022b] Bakheet, S., Alsubai, S., Alqahtani, A., e Binbusayyis, A. (2022b). Robust fingerprint minutiae extraction and matching based on improved sift features. Applied Sciences, 12(12):6122.
3 [Biometric System Laboratory 2026] Biometric System Laboratory (2026). Research activities. https://biolab.csr.unibo.it/research.asp?organize=Activities& select=&selObj=82&pathSubj=111%7C%7C8%7C%7C82&Req=. Accessed: 2026-05-26.
4 [Cappelli e Ferrara 2012] Cappelli, R. e Ferrara, M. (2012). A fingerprint retrieval system based on level-1 and level-2 features. Expert Systems with Applications, 39(12):10465–10478.
5 [Cappelli et al. 2007] Cappelli, R., Ferrara, M., Franco, A., e Maltoni, D. (2007). Fingerprint verification competition 2006. Biometric Technology Today, 15(7-8):7–9.
6 [Cappelli et al. 2010] Cappelli, R., Ferrara, M., e Maltoni, D. (2010). Minutia cylinder-code: A new representation and matching technique for fingerprint recognition. IEEE transactions on pattern analysis and machine intelligence, 32(12):2128–2141.
7 [Gibb e Riemen 2023] Gibb, C. e Riemen, J. (2023). Toward better afis practice and process in the forensic fingerprint environment. Forensic Science International: Synergy, 7:100336.
8 [Liu et al. 2024] Liu, X., Raja, K., Wang, R., Qiu, H., Wu, H., Sun, D., Zheng, Q., Liu, N., Wang, X., Huang, G., et al. (2024). A latent fingerprint in the wild database. IEEE Transactions on Information Forensics and Security, 19:3703–3718.
9 [Maio et al. 2002a] Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., e Jain, A. K. (2002a). Fvc2000: Fingerprint verification competition. IEEE transactions on pattern analysis and machine intelligence, 24(3):402–412.
10 [Maio et al. 2002b] Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., e Jain, A. K. (2002b). Fvc2002: Second fingerprint verification competition. In 2002 International conference on pattern recognition, volume 3, pages 811–814. IEEE.
11 [Maio et al. 2004] Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., e Jain, A. K. (2004). Fvc2004: Third fingerprint verification competition. In International conference on biometric authentication, pages 1–7. Springer.
12 [Maltoni et al. 2022a] Maltoni, D., Maio, D., Jain, A. K., e Feng, J. (2022a). Fingerprint sensing. Handbook of fingerprint recognition, pages 63–114.
13 [Maltoni et al. 2022b] Maltoni, D., Maio, D., Jain, A. K., e Feng, J. (2022b). Handbook of Fin- gerprint Recognition. Springer Cham, Cham, Switzerland, 3 edition.
14 [Maltoni et al. 2009] Maltoni, D., Maio, D., Jain, A. K., e Prabhakar, S. (2009). Handbook of fingerprint recognition. Springer.
15 [Martins et al. 2024] Martins, N., Silva, J. S., e Bernardino, A. (2024). Fingerprint recognition in forensic scenarios. Sensors, 24(2):664.
16 [Mohamed Abdul Cader et al. 2023] Mohamed Abdul Cader, A. J., Banks, J., e Chandran, V. (2023). Fingerprint systems: sensors, image acquisition, interoperability and challenges. Sen- sors, 23(14):6591.
17 [Peng e Huang 2025] Peng, A. e Huang, R. (2025). Research progress on the application of deep learning in fingerprint recognition. Pattern Recognition, page 112216.
18 [Peralta et al. 2017] Peralta, D., Garc´ıa, S., Benitez, J. M., e Herrera, F. (2017). Minutiae-based fingerprint matching decomposition: methodology for big data frameworks. Information Sci- ences, 408:198–212
19 [Raghavan e John Singh 2024] Raghavan, R. e John Singh, K. (2024). An enhanced and hybrid fingerprint minutiae feature extraction method for identifying and authenticating the patient’s noisy fingerprint. International Journal of System Assurance Engineering and Management, 15(1):84–97.
20 [Schuch et al. 2018] Schuch, P., Schulz, S., e Busch, C. (2018). Survey on the impact of finger- print image enhancement. IET Biometrics, 7(2):102–115.
21 [Singh et al. 2025] Singh, R., Singh, R., Tripathi, R. K., e Agarwal, P. (2025). Fingerprint recog- nition using artificial neural networks. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 95(2):127–135.
22 [Tang et al. 2017] Tang, Y., Gao, F., Feng, J., e Liu, Y. (2017). Fingernet: An unified deep network for fingerprint minutiae extraction. In Biometrics (IJCB), 2017 IEEE International Joint Con- ference on. IEEE
23 [Vibert et al. 2023] Vibert, B., Le Bars, J.-M., Charrier, C., e Rosenberger, C. (2023). Com- parative study of minutiae selection methods for digital fingerprints. Frontiers in Big Data, 6:1146034.
24 [Watson et al. 2007] Watson, C. I., Garris, M. D., Tabassi, E., Wilson, C. L., McCabe, R. M., Janet, S., e Ko, K. (2007). User’s guide to nist biometric image software (nbis).
25 [Win et al. 2020] Win, K. N., Li, K., Chen, J., Viger, P. F., e Li, K. (2020). Fingerprint classi- fication and identification algorithms for criminal investigation: A survey. Future Generation Computer Systems, 110:758–771.
26 [Yu et al. 2023] Yu, Y., Niu, Q., Li, X., Xue, J., Liu, W., e Lin, D. (2023). A review of fingerprint sensors: Mechanism, characteristics, and applications. Micromachines, 14(6):1253.