Iris Presentation Attack Detection for Mobile Devices-Reference-Cited by-同舟云学术

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Iris Presentation Attack Detection for Mobile Devices

Published:2021 Issue: Volume: Page:1165-1173
ISSN:2367-3370
Container-title:Information and Communication Technology for Competitive Strategies (ICTCS 2020)
language:
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Author:

Choudhary Meenakshi,Tiwari Vivek,Venkanna U.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-0882-7_105

Reference15 articles.

1. M. Choudhary, V. Tiwari, V. Uduthalapally, Iris anti-spoofing through score-level fusion of handcrafted and data-driven features. Appl. Soft Comput. 91,106206-1–106206-14 (2020)

2. M. Choudhary, V. Tiwari, V. Uduthalapally, Iris presentation attack detection based on best-k feature selection from YOLO inspired RoI. Neural Comput. Appl. 1–21 (2020)

3. A. Czajka, A., K.W. Bowyer, Presentation attack detection for iris recognition: an assessment of the state of the art. ACM Comput. Surv. 51(4), 86-1–86-35 (2018)

4. Choudhary, M., Tiwari, V., Uduthalapally, V.: Iris Liveness Detection Using Fusion of Domain-Specific Multiple BSIF and DenseNet Features. IEEE Transactions on Cybernetics, 1–12 (2020).

5. J. Daugman, High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15, 1148–1161 (1993)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Presentation Attack Detection for Sclera Biometric Applications;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10

2. Parametric study of hand dorsal vein biometric recognition vulnerability to spoofing attacks;Journal of Computer Virology and Hacking Techniques;2023-07-20

3. Simulation Of Biometric System Performance Under Spoofing Attack;2022 International Conference on Information, Control, and Communication Technologies (ICCT);2022-10-03

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