A method for 3D iris reconstruction from multiple 2D near-infrared images

2017 IEEE International Joint Conference on Biometrics (IJCB) Pub Date : 2017-10-01 DOI:10.1109/BTAS.2017.8272735

Diego Bastias, C. Pérez, Daniel P. Benalcazar, K. Bowyer

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引用次数: 10

Abstract

The need to verify identity has become an everyday experience for most people. Biometrics is the principal means for reliable identification of people. Although iris recognition is the most reliable current technique for biometric identification, it has limitations because only segments of the iris are available due to occlusions from the eyelids, eyelashes, specular highlights, etc. The goal of this research is to study iris reconstruction from several 2D near infrared iris images, adding depth information to iris recognition. We expect that adding depth information from the iris surface will make it possible to identify people from a smaller segment of the iris. We designed a sensor for 2D near-infrared iris image acquisition. The method follows a pre-processing stage with the goal of performing iris enhancement, eliminating occlusions, reflections and extreme gray-level values, ending in iris texture equalization. The last step is the 3D iris model reconstruction based on several 2D iris images acquired at different angles. Results from each stage are presented.

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基于多幅二维近红外图像的三维虹膜重建方法

对大多数人来说，验证身份已经成为一种日常体验。生物识别技术是可靠识别人的主要手段。虽然虹膜识别是目前最可靠的生物识别技术，但由于眼睑、睫毛、高光等遮挡，虹膜只有部分可用，因此存在局限性。本研究的目的是利用多幅二维近红外虹膜图像进行虹膜重建，为虹膜识别增加深度信息。我们期望从虹膜表面添加深度信息将使从虹膜的较小部分识别人成为可能。设计了一种用于二维近红外虹膜图像采集的传感器。该方法经过预处理阶段，目标是进行虹膜增强，消除遮挡，反射和极端灰度值，最后进行虹膜纹理均衡。最后一步是基于在不同角度获取的多幅二维虹膜图像进行三维虹膜模型重建。给出了每个阶段的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE International Joint Conference on Biometrics (IJCB)

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