Empirical Assessment of End-to-End Iris Recognition System Capacity-Reference-Cited by-同舟云学术

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Empirical Assessment of End-to-End Iris Recognition System Capacity

Published:2023-04 Issue:2 Volume:5 Page:154-169
ISSN:2637-6407
Container-title:IEEE Transactions on Biometrics, Behavior, and Identity Science
language:
Short-container-title:IEEE Trans. Biom. Behav. Identity Sci.

Author:

Das Priyanka¹^ORCID,Plesh Richard¹^ORCID,Talreja Veeru²,Schmid Natalia A.³^ORCID,Valenti Matthew¹^ORCID,Skufca Joseph⁴,Schuckers Stephanie¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA

2. Computer Science and Electrical Engineering Department, West Virginia University, Morgantown, WV, USA

3. Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA

4. Department of Mathematics, Clakson University, Potsdam, NY, USA

Funder

National Science Foundation

Center for Identification Technology Research.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Instrumentation

Link

https://ieeexplore.ieee.org/ielam/8423754/10124455/10077721-aam.pdf

Reference28 articles.

1. Fingerprint Entropy and Identification Capacity Estimation Based on Pixel-Level Generative Modelling

2. Entropy-based template analysis in face biometric identification systems

3. On the Individuality of the Iris Biometric

4. Iris individuality: a partial iris model

5. How Unique Is a Face: An Investigative Study

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. Uniqueness of Iris Pattern Based on the Auto-Regressive Model;Sensors;2024-04-27

2. Multimodal Biometric Authentication based on Score Level Fusion of Palmprint and Iris;2023 9th International Conference on Signal Processing and Communication (ICSC);2023-12-21

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