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Image enhancement and iris localization based on 2D complex matched filter for noisy images

机译:基于2D复杂匹配滤波器的图像增强和虹膜定位

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Iris image preprocessing is one of the most important steps in iris recognition system. It includes both iris localization and some solutions for in-band noise removal like lighting, eyelashes, eyelids, reflections, etc. In this paper, it proposed a new iris-preprocessing algorithm, in which adopted on one of the famous phenomena on communication system (Matched filter). After this, it made some enhancement for noisy databases that is necessary in the automatic iris recognition system. The algorithm is test to be in effect through our experiments on 2400 iris images from The Institute of Automation, Chinese Academy of Sciences and 2435 iris images University of Bath database. Our goal is to remove the unwanted information and emphasis the wanted one in less time for noisy images. This improvement is significant for the real time application systems that are sensitive to noise, demand precise segmentation results and has time constraints.
机译:虹膜图像预处理是虹膜识别系统中最重要的步骤之一。它既包括虹膜定位,又包括一些带内噪声消除的解决方案,例如照明,睫毛,眼睑,反射等。本文提出了一种新的虹膜预处理算法,该算法采用了通信系统中的一种著名现象。 (匹配的过滤器)。此后,它对自动虹膜识别系统中必需的嘈杂数据库进行了一些增强。通过我们对来自中国科学院自动化研究所的2400个虹膜图像和巴斯大学的2435个虹膜图像数据库的实验,验证了该算法是否有效。我们的目标是消除不必要的信息,并在更短的时间内强调需要的信息以获得嘈杂的图像。对于对噪声敏感,需要精确的分割结果并具有时间限制的实时应用系统,此改进意义重大。

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