Iris imaging in visible spectrum using white LED
Iris imaging in visible spectrum using white LED
复制标题
使用白色 LED 进行可见光谱虹膜成像
DOI：
10.1109/btas.2015.7358769
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
C. Busch
中科院分区：
文献类型：
--
作者：
K. Raja;Ramachandra Raghavendra;C. Busch
可见光谱中的虹膜识别有很多具有挑战性的方面。特别是，对于虹膜颜色较深的受试者，这是由于较高的黑色素沉着和胶原纤维造成的，在可见光下看不到明显的图案。因此，由于捕获的虹膜样本中的纹理可见性有限，验证性能通常会降低。在这项工作中，我们提出了一种新的方法，使用白光发光二极管(LED)来获得高质量的细节纹理的虹膜图像。为了评估建议的LED灯设置，我们获得了一个新的暗虹膜图像数据库，其中包括62个独特的虹膜实例，每个实例有10个样本，这些实例在不同的会话中捕获。该数据库是通过三款不同的智能手机获取的--iPhone 5S、诺基亚Lumia 1020和三星Active S4。我们还提供了对传统到近红外(NIR)图像的基准，这些图像可用于数据库的子集。使用五种成熟的虹膜识别算法和一种现成的商业算法进行了广泛的实验。它们展示了所提出的图像捕获设置的可靠性能，在FMR=0.01%时，GMR为91.01%，表明其在实际认证场景中的适用性。
Iris recognition in the visible spectrum has many challenging aspects. Especially, for subjects with dark iris color, which is caused by higher melanin pigmentation and collagen fibrils, the pattern is not clearly observable under visible light. Thus, the verification performance is generally lowered due to limited texture visibility in the captured iris samples. In this work, we propose a novel method of employing a white light-emitting-diode (LED) to obtain high-quality iris images with detailed texture. To evaluate the proposed set-up with LED light, we have acquired a new database of dark iris images comprising of 62 unique iris instances with ten samples each that were captured in different sessions. The database is acquired using three different smartphones - iPhone 5S, Nokia Lumia 1020 and Samsung Active S4. We also provide a benchmark of the proposed method with conventional to Near-Infra-Red (NIR) images, which are available for a subset of the database. Extensive experiments were carried out using five different well-established iris recognition algorithms and one commercial-of-the-shelf algorithm. They demonstrate the reliable performance of the proposed image capturing setup with GMR of 91.01% at FMR = 0.01% indicating the applicability in real-life authentication scenarios.