Robust Multimodal Biometric System Based on Feature Level Fusion of Optimiseddeepnet Features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09075-x.pdf
Reference57 articles.
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3. Mo, H., Chen, B., & Luo, W. (2018). Fake Faces Identification via Convolutional Neural Network. In Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, Innsbruck, Austria, pp. 43–47. Association for Computing Machinery.
4. Li, S. Z., & Jain, A. K. (2011). Handbook of Face Recognition. Berlin: Springer.
5. Guo, Y., Lei, Y., Liu, L., Wang, Y., Bennamoun, M., & Sohel, F. (2016). EI3D: Expression-invariant 3D face recognition based on feature and shape matching. Pattern Recognition Letters, 83, 403–412. https://doi.org/10.1016/j.patrec.2016.04.003
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