Abstract
Iris recognition systems, operating in the near infrared spectrum (NIR), have demonstrated vulnerability to presentation attacks, where an adversary uses artifacts such as cosmetic contact lenses, artificial eyes or printed iris images in order to circumvent the system. At the same time, a number of effective presentation attack detection (PAD) methods have been developed. These methods have demonstrated success in detecting artificial eyes (e.g., fake Van Dyke eyes) as presentation attacks. In this work, we seek to alter the optical characteristics of artificial eyes by affixing Vanadium Dioxide (VO2) films on their surface in various spatial configurations. VO2 films can be used to selectively transmit NIR light and can, therefore, be used to regulate the amount of NIR light from the object that is captured by the iris sensor. We study the impact of such images produced by the sensor on two state-of-the-art iris PA detection methods. We observe that the addition of VO2 films on the surface of artificial eyes can cause the PA detection methods to misclassify them as bonafide eyes in some cases. This represents a vulnerability that must be systematically analyzed and effectively addressed.
Abstract (translated)
近红外（NIR）识别系统操作在近红外频段（NIR）中，已经证明了易受展示攻击的漏洞，在这种攻击中，攻击者使用 cosmetic 接触镜、人工眼睛或打印的虹膜图像等物品绕过系统。同时，已经开发了许多有效的展示攻击检测（PAD）方法。这些方法在检测人工眼睛（例如，假 Van Dyke 眼睛）作为展示攻击方面取得了成功。在这项工作中，我们试图通过在人工眼睛表面粘贴 Vanadium Dioxide（VO2） films 来改变人工眼睛的光学特性。VO2 films 可以专门传输 NIR 光，因此可以用来调节被瞳孔传感器捕获的对象的 NIR 光量。我们研究了这种传感器产生的图像对两种最先进的虹膜PA检测方法的影响。我们观察到，在某些情况下，在人工眼睛表面粘贴 VO2 films 会使得 PAD 检测方法将其误判为真正的眼睛。这表示必须系统地分析并有效地解决这个漏洞。
URL
https://arxiv.org/abs/2311.12773
