School of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UK.
Sensors (Basel). 2021 Feb 17;21(4):1394. doi: 10.3390/s21041394.
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.
演示攻击伪造物可以通过向生物识别系统的传感器呈现来破坏生物识别系统的运行。在这项工作中，我们建议使用具有随机轨迹的视觉刺激来刺激眼球运动，以检测这种欺骗攻击。呈现移动的视觉挑战，以确保刺激一些瞳孔运动，然后用相机捕捉。在不同的平面几何形状上探索了各种类型的挑战轨迹，这些平面几何形状代表了可以向用户呈现挑战的预期设备。为了评估系统，使用了照片、2D 面具和 3D 面具攻击伪造物，并从 80 名志愿者中捕获了瞳孔运动数据，他们执行了真实和欺骗尝试。结果支持所提出的特征用于检测生物识别演示攻击的潜力。
