Deep convolutional neural networks for face and iris presentation attack detection: survey and case study
Author:
Affiliation:
1. Department of Computer and Systems EngineeringAin Shams UniversityCairoEgypt
2. Department of Computer Science and EngineeringThe American University in CairoNew CairoEgypt
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2020.0004
Reference127 articles.
1. Jourabloo A. Liu Y. Liu X.: ‘Face de‐spoofing: anti‐spoofing via noise modeling’.Proc. European Conference on Computer Vision (ECCV 2018) Munich Germany 2018
2. Nagpal C. Dubey S.R.: ‘A performance evaluation of convolutional neural networks for face anti‐spoofing’.2019 International Joint Conference on Neural Networks (IJCNN) Budapest Hungary 2019
3. Presentation attack detection for iris recognition system using nir camera sensor;Nguyen D.;Sensors,2018
4. Deep learning‐based enhanced presentation attack detection for iris recognition by combining features from local and global regions based on nir camera sensor;Nguyen D.T.;Sensors,2018
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