Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?-Reference-Cited by-同舟云学术

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Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
Short-container-title:

Author:

Agarwal Akshay¹,Ratha Nalini²,Noore Afzel³,Singh Richa⁴,Vatsa Mayank⁴

Affiliation:

1. IISER Bhopal,India

2. University at Buffalo,USA

3. Texas A&M University,Kingsville,USA

4. IIT Jodhpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030240.pdf?arnumber=10030240

Reference55 articles.

1. Presentation attack detection for iris recognition: An assessment of the state-of-the-art;czajka;ACM CSUR,2018

2. Class-Balanced Loss Based on Effective Number of Samples

3. ImageNet: A large-scale hierarchical image database

4. New Methods in Iris Recognition

5. Review of Iris Presentation Attack Detection Competitions

Cited by 2 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. Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-04

2. Gender Classification Model based on the Resnet 152 Architecture;2023 IEEE International Carnahan Conference on Security Technology (ICCST);2023-10-11

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