Face anti-spoofing via jointly modeling local texture and constructed depth-Reference-Cited by-同舟云学术

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Face anti-spoofing via jointly modeling local texture and constructed depth

Published:2024-07 Issue: Volume:133 Page:108345
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Li Lei^ORCID,Yao Zhihao,Gao Shanshan,Han Huijian,Xia Zhaoqiang^ORCID

Funder

Shandong Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference64 articles.

1. Face anti-spoofing using haralick features;Agarwal,2016

2. Face anti-spoofing based on color texture analysis;Boulkenafet,2015

3. Face spoofing detection using colour texture analysis;Boulkenafet;IEEE Trans. Inf. Forensics Secur.,2016

4. Oulu-npu: A mobile face presentation attack database with real-world variations;Boulkenafet,2017

5. Drl-fas: A novel framework based on deep reinforcement learning for face anti-spoofing;Cai;IEEE Trans. Inf. Forensics Secur.,2020

Cited by 1 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. Robust Hybrid Texture Descriptor (HTD) and a parallel score based fusion for face verification and liveness detection system;VFAST Transactions on Software Engineering;2024-06-15

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