Rank Level Fusion of Multimodal Biometrics Using Particle Swarm Optimization
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12700-7_40
Reference18 articles.
1. Abderrahmane, H., Noubeil, G., Lahcene, Z., Akhtar, Z., Dasgupta, D.: Weighted quasi-arithmetic mean based score level fusion for multi-biometric systems. IET Biom. 9(3), 91–99 (2020)
2. Communications in Computer and Information Science;S Ahmad,2020
3. Cazzaniga, P., Nobile, M.S., Besozzi, D.: The impact of particles initialization in PSO: parameter estimation as a case in point. In: Proceedings of IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, pp. 1–8 (2015)
4. Devi, D.V.R., Rao, K.N.: A multimodal biometric system using partition based DWT and rank level fusion. In: Proceedings of IEEE International Conference on Computational Intelligence and Computing Research (2016)
5. Hanmandlu, M., Grover, J., Gureja, A., Gupta, H.M.: Score level fusion of multimodal biometrics using triangular norms. Pattern Recognit. Lett. 32(14), 1843–1850 (2011)
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