A residual feature-based replay attack detection approach for brainprint biometric systems

Author(s):  
Qiong Gui ◽  
Wei Yang ◽  
Zhanpeng Jin ◽  
Maria V. Ruiz-Blondet ◽  
Sarah Laszlo
2020 ◽  
Author(s):  
Hongji Wang ◽  
Heinrich Dinkel ◽  
Shuai Wang ◽  
Yanmin Qian ◽  
Kai Yu

Author(s):  
Anderson R. Avila ◽  
Jahangir Alam ◽  
Douglas O’Shaughnessy ◽  
Tiago H. Falk

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1394
Author(s):  
Asad Ali ◽  
Sanaul Hoque ◽  
Farzin Deravi

Presentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presentation of a moving visual challenge is used to ensure that some pupillary motion is stimulated and then captured with a camera. Various types of challenge trajectories are explored on different planar geometries representing prospective devices where the challenge could be presented to users. To evaluate the system, photo, 2D mask and 3D mask attack artefacts were used and pupillary movement data were captured from 80 volunteers performing genuine and spoofing attempts. The results support the potential of the proposed features for the detection of biometric presentation attacks.


2018 ◽  
Vol 78 (7) ◽  
pp. 8383-8396 ◽  
Author(s):  
Yanzhen Ren ◽  
Zhong Fang ◽  
Dengkai Liu ◽  
Changwen Chen

Author(s):  
Felipe Barbosa Abreu ◽  
Anderson Morais ◽  
Ana Cavalli ◽  
Bachar Wehbi ◽  
Edgardo Montes de Oca ◽  
...  

2021 ◽  
Vol 2010 (1) ◽  
pp. 012146
Author(s):  
Shimin Sun ◽  
Xinchao Zhang ◽  
Wentian Huang ◽  
Aixin Xu ◽  
Xiaofan Wang ◽  
...  

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