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A survey of liveness detection methods for face biometric systems

Yang Xin (Centre of Information Security, Beijing University of Posts and Telecommunications, Beijing, China)
Yi Liu (School of Information Science and Engineering, Shandong University, Jinan, China)
Zhi Liu (School of Information Science and Engineering, Shandong University, Jinan, China)
Xuemei Zhu (Shandong Provincial Key Laboratory of Wireless Communication Technologies, School of Information Science and Engineering, Shandong University, Jinan, China)
Lingshuang Kong (School of Information Science and Engineering, Shandong University, Jinan, China)
Dongmei Wei (School of Physics and Electronics, Shandong Normal University, Jinan, China)
Wei Jiang (School of Information Science and Engineering, Shandong University, Jinan, China)
Jun Chang (School of Information Science and Engineering, Shandong University, Jinan, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 19 June 2017

475

Abstract

Purpose

Biometric systems are widely used for face recognition. They have rapidly developed in recent years. Compared with other approaches, such as fingerprint recognition, handwriting verification and retinal and iris scanning, face recognition is more straightforward, user friendly and extensively used. The aforementioned approaches, including face recognition, are vulnerable to malicious attacks by impostors; in such cases, face liveness detection comes in handy to ensure both accuracy and robustness. Liveness is an important feature that reflects physiological signs and differentiates artificial from real biometric traits. This paper aims to provide a simple path for the future development of more robust and accurate liveness detection approaches.

Design/methodology/approach

This paper discusses about introduction to the face biometric system, liveness detection in face recognition system and comparisons between the different discussed works of existing measures.

Originality/value

This paper presents an overview, comparison and discussion of proposed face liveness detection methods to provide a reference for the future development of more robust and accurate liveness detection approaches.

Keywords

Acknowledgements

This work was supported the Fundamental Research Funds of Shandong University (No. 2015JC038).

Citation

Xin, Y., Liu, Y., Liu, Z., Zhu, X., Kong, L., Wei, D., Jiang, W. and Chang, J. (2017), "A survey of liveness detection methods for face biometric systems", Sensor Review, Vol. 37 No. 3, pp. 346-356. https://doi.org/10.1108/SR-08-2015-0136

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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