References
- K. Lalović, I. Tot, A. Arsić, and M. Škarić, “Security information system, based on fingerprint biometrics,” Acta Polytech. Hung., vol. 16, no. 5, pp. 87–100, Jul. 2019. https://doi.org/10.12700/APH.16.5.2019.5.6
- J. Pillai, V. Patel, R. Chellappa, and N. Ratha, “Secure and robust iris recognition using random projections and sparse representations,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 9, pp. 1877–1893, Feb. 2011. https://doi.org/10.1109/TPAMI.2011.34
- T. Chai, S. Prasad, J. Yan, and Z. Zhang, “Contactless palmprint biometrics using DeepNet with dedicated assistant layers,” Vis. Comput., pp. 1–19, Jul. 2022. https://doi.org/10.1007/s00371-022-02571-6
- T. Hafs, L. Bennacer, M. Boughazi, and A. Nait-Ali, “Empirical mode decomposition for online handwritten signature verification,” IET Biom., vol. 5, no. 3, pp. 190–199, Sep. 2016. https://doi.org/10.1049/ietbmt.2014.0041
- S. Parkinson, S. Khan, A. Crampton, Q. Xu, W. Xie, N. Liu, and K. Dakin, “Password policy characteristics and keystroke biometric authentication,” IET Biom., vol. 10, no. 2, pp. 163–178, Mar. 2021. https://doi.org/10.1049/bme2.12017
- S. Dey, S. Barman, R. K. Bhukya, R. K. Das, B C Haris, S. R. M. Prasanna, and R. Sinha, “Speech biometric based attendance system,” in 2014 Twentieth National Conference on Communications (NCC), Kanpur, India, Feb. 2014, pp. 1–6. https://doi.org/10.1109/NCC.2014.6811345
- M. Leghari, S. Memon, L. Dhomeja, D. Jalbani, and A. Ali, “Deep feature fusion of fingerprint and online signature for multimodal biometrics,” Computers, vol. 10, no. 2, Feb. 2021, Art. no. 21. https://doi.org/10.3390/computers10020021
- B. El-Rahiem, F. Abd El-Samie, and M. Amin, “Multimodal biometric authentication based on deep fusion of electrocardiogram (ECG) and finger vein,” Multimed. Syst., vol. 28, pp. 1325–1337, Aug. 2022. https://doi.org/10.1007/s00530-021-00810-9
- M. Labayen, R. Vea, J. Florez, N. Aginako, and B. Sierra, “Online student authentication and proctoring system based on multimodal biometrics technology,” IEEE Access, vol. 9, pp. 72398–72411, May 2021. https://doi.org/10.1109/ACCESS.2021.3079375
- J. Ortega-Garcia, J. Fierrez-Aguilar, D. Simon, J. Gonzalez, M. Faundez-Zanuy, V. Espinosa, A. Satue, I. Hernaez, J.-J. Igarza, C. Vivaracho, D. Escudero, and Q.-I. Moro, “MCYT baseline corpus: a bimodal biometric database,” IEE Proc. – Vis. Image Signal Process., vol. 150, no. 6, pp. 395–401, Dec. 2003. https://doi.org/10.1049/ip-vis:20031078
- D.-Y. Yeung, H. Chang, Y. Xiong, S. George, R. Kashi, T. Matsumoto, and G. Rigoll, “SVC2004: First international signature verification competition,” in Biometric Authentication, D. Zhang and A.K. Jain, Eds. Springer, Berlin, Heidelberg, 2004, pp. 16–22. https://doi.org/10.1007/978-3-540-25948-0_3
- D. Maltoni, D. Maio, A. K. Jain, and J. Feng, Handbook of Fingerprint Recognition. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-83624-5
- D. Maio, D. Maltoni, R. Cappelli, J. L. Wayman, and A. K. Jain, “FVC2004: Third fingerprint verification competition,” in Biometric Authentication, D. Zhang and A.K. Jain, Eds. Springer, Berlin, Heidelberg, 2004, pp. 1–7. https://doi.org/10.1007/978-3-540-25948-0_1
- N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. Yen, C. C. Tung, and H. H. Liu., “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” Proc. Math. Phys. Eng. Sci., vol. 454, no. 1971, pp. 903–995, Mar. 1998. https://doi.org/10.1098/rspa.1998.0193
- L. Gao, X. Li, Y. Yao, Y. Wang, X. Y., X. Zhao, D. Geng, Y. Li, and L. Liu, “A modal frequency estimation method of non-stationary signal under mass time-varying condition based on EMD algorithm,” Appl. Sci., vol. 12, no. 16, Aug. 2022, Art no. 8187. https://doi.org/10.3390/app12168187
- G. Rilling, “Décompositions modales empiriques. Contributions à la théorie, l’algorithmie et l’analyse de performances,” Ph.D. dissertation, Ecole normale supérieure de lyon – ENS LYON, 2007. [Online]. Available: https://tel.archives-ouvertes.fr/tel-00442634. Accessed on: Oct. 23, 2022.
- L. Lin, Y. Wang, and H. Zhou, “Iterative filtering as an alternative algorithm for empirical mode decomposition,” Adv. Adapt. Data Anal., vol. 1, no. 4, pp. 543–560, 2009. https://doi.org/10.1142/S179353690900028X
- G. Rilling, P. Flandrin, P. Gonçalves, and J. Lilly, “Bivariate empirical mode decomposition,” IEEE Signal Process. Lett., vol. 14, no. 12, pp. 936–939, Dec. 2008. https://doi.org/10.1109/LSP.2007.904710
- L. Hong, “Automatic personal identification using fingerprints,” Ph.D. dissertation, Michigan State University, USA, 1998.
- L. C. Jain, U. Halici, I. Hayashi, S. B. Lee, and S. Tsutsui, Intelligent Biometric Techniques in Fingerprint and Face Recognition. USA: CRC Press, Inc., 1999.