首页> 外文会议>International Symposium on Pervasive Systems, Algorithms and Networks >Biological Features De-identification in Iris Images
【24h】

Biological Features De-identification in Iris Images

机译:生物学特征在虹膜图像中取消识别

获取原文

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:生物识别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认证技术,已广泛用于许多领域。但是,如果非法聚会使用虹膜功能信息,它可能会导致严重后果。因此,当人类的图像用于移动社交网络时,如何保护虹膜功能。在本文中,我们首先介绍一种识别眼睛图像中的虹膜区域的方法。通过差异隐私,我们在虹膜区域上呈现了一种去识别算法以保护虹膜生物学特征。我们的方法的显着优势在于它只隐藏虹膜生物学特征,但不会改变给定图像的其他部分。提供了一种模拟示例以持续显示我们去识别方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号