论文标题
带有演示攻击检测的开源虹膜识别硬件和软件
Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
论文作者
论文摘要
本文提出了带有演示攻击检测（PAD）的我们开源硬件和软件IRIS识别系统所知道的，可以轻松使用Raspberry Pi板和一些外围设备组装约75美元。这项工作的主要目的是为抗欺骗的虹膜识别提供低成本的基准，该基线可能（a）可以（a）刺激虹膜垫中的研究，并易于对安全的IRIS识别系统进行原型制作，（b）提供低成本的安全IRIS识别替代方案，用于更复杂的系统，以及（c）作为教育平台。我们提出了一个轻巧的图像复杂性引导的卷积网络，用于快速准确的IRIS分割，特定于域特异性的人类启发的二进制二进制统计图像特征（BSIF）来构建IRIS模板，并结合2D（IRIS纹理）和3D（基于光度的基于STEREO的）功能。拟议的虹膜识别在约3.2秒内运行，而拟议的垫子在Raspberry Pi 3b+上约4.5秒内运行。与本文一起提供了整个管道的硬件规格和所有源代码。
This paper proposes the first known to us open source hardware and software iris recognition system with presentation attack detection (PAD), which can be easily assembled for about 75 USD using Raspberry Pi board and a few peripherals. The primary goal of this work is to offer a low-cost baseline for spoof-resistant iris recognition, which may (a) stimulate research in iris PAD and allow for easy prototyping of secure iris recognition systems, (b) offer a low-cost secure iris recognition alternative to more sophisticated systems, and (c) serve as an educational platform. We propose a lightweight image complexity-guided convolutional network for fast and accurate iris segmentation, domain-specific human-inspired Binarized Statistical Image Features (BSIF) to build an iris template, and to combine 2D (iris texture) and 3D (photometric stereo-based) features for PAD. The proposed iris recognition runs in about 3.2 seconds and the proposed PAD runs in about 4.5 seconds on Raspberry Pi 3B+. The hardware specifications and all source codes of the entire pipeline are made available along with this paper.
