Quality Matters: Boosting Face Presentation Attack Detection With Image Quality Metrics-Reference-Cited by-同舟云学术

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Quality Matters: Boosting Face Presentation Attack Detection With Image Quality Metrics

Published:2024 Issue: Volume:12 Page:94654-94672
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Xinwei¹^ORCID,Wang Renfang¹^ORCID,Liu Wen²,Zhang Liangbin¹,Wang Xiaoxia³

Affiliation:

1. Department of Computer Science, College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China

2. DMJ Lab, College of Information and Intelligent Engineering, Zhejiang Wanli University, Ningbo, China

3. Library and Learning Resource Center, Zhejiang Wanli University, Ningbo, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Public Welfare Technology Research Program of Zhejiang Provincial

Natural Science Foundation of Ningbo Municipality

Ningbo Key Research and Development Plan

Ningbo Yongjiang Talent Introduction Program 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10577672.pdf?arnumber=10577672

Reference94 articles.

1. Perceptual image quality assessment: a survey

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Multi-modality quality assessment for unconstrained biometric samples;Liu,2018

4. Quality Measures in Biometric Systems

5. Selfie Periocular Verification Using an Efficient Super-Resolution Approach

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