Cross‐ethnicity face anti‐spoofing recognition challenge: A review

Cross‐ethnicity face anti‐spoofing recognition challenge: A review

Abstract Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has achieved impressive progress recently due to the excellent performance of deep neural networks and the availability of large datasets. Although ethnic bias has been verifi...

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Bibliographic Details
Main Authors: Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Biometrics
Subjects:
biometrics (access control)
face recognition
prejudicial factors
deep learning (artificial intelligence)
Online Access:https://doi.org/10.1049/bme2.12002
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https://doi.org/10.1049/bme2.12002

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