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Biological Features De-identification in Iris Images

机译:虹膜图像中的生物特征去识别

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摘要

Biometric authentication has recently become hugely popular in mobile social networks. Iris recognition, a typical biometric authentication technology, has been widely used in many fields. However, it can lead to serious consequences if the iris feature information is utilized by an illegal party. Thus, a critical issue is how to preserve iris features when the human's images are used in mobile social networks. In this paper, we first introduce an approach to identify the iris area in an eye image. By means of differential privacy, we present a de-identification algorithm on the iris area to preserve iris biological features. A remarkable advantage of our approach is that it only conceals the iris biological features but does not change the other parts of the given image. A simulation example is provided to show the effectiveness of our de-identification method at last.
机译:生物特征认证最近在移动社交网络中变得非常流行。虹膜识别是一种典型的生物特征认证技术,已广泛应用于许多领域。然而,如果虹膜特征信息被非法方利用,则可能导致严重的后果。因此,一个关键问题是当在移动社交网络中使用人的图像时如何保留虹膜特征。在本文中,我们首先介绍一种识别眼睛图像中虹膜区域的方法。通过差异隐私,我们提出了虹膜区域的去识别算法,以保留虹膜的生物学特征。我们方法的一个显着优势是它仅隐藏虹膜的生物学特征,而不会改变给定图像的其他部分。最后提供了一个仿真例子来说明我们的去识别方法的有效性。

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