SCPAD: An approach to explore optical characteristics for robust static presentation attack detection-Reference-Cited by-同舟云学术

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SCPAD: An approach to explore optical characteristics for robust static presentation attack detection

Published:2023-06-27 Issue:5 Volume:83 Page:14503-14520
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Dang Chen,Xia Zhaoqiang,Dai Jing,Gao Jie,Li Lei,Feng Xiaoyi

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Shenzhen Science and Technology Program

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15870-4.pdf

Reference46 articles.

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2. Ajagbe SA, Oki OA, Oladipupo MA, Nwanakwaugwu A (2022) Inves-tigating the efficiency of deep learning models in bioinspired object detection. In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), pp 1–6 . https://doi.org/10.1109/ICECET55527.2022.9872568

3. Ajagbe SA, Amuda KA, Oladipupo MA, Oluwaseyi FA, Okesola KI (2021) Multi-classication of alzheimer disease on magnetic resonance images (mri) using deep convolutional neural network (dcnn) approaches. Int J Adv Comput Res 11(53):51

4. Arora G, Tiwari K, Gupta P (2019) Liveness and threat aware sele face recognition. Sele Biometrics. Springer, Berlin, pp 197–210

5. Atoum Y, Liu Y, Jourabloo A, Liu X (2017) Face anti-spoong using patch and depth-based cnns. In 2017 IEEE international joint conference on biometrics (IJCB), pp 319–328 IEEE

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