Tampering Reveal Technique for Iris Images

IF 2 Q3 TELECOMMUNICATIONS
Rasha Thabit, J. Ali, Doaa Subhi
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引用次数: 1

Abstract

Nowadays, many biometric based security systems depend on the iris images for authentication because of their features and ease of use. However, storing and sharing these sensitive images through open access networks will expose them to tampering. In order to ensure the safety of the iris images, this paper presents a new tampering reveal technique based on watermarking in the transform domain. In the proposed technique, the iris region is selected and isolated using interactive segmentation process (ISA). The authentication bits have been generated from the iris region (IR) and embedded in the Slantlet transform coefficients of the remaining part of the iris image which has been named as non-iris region (NIR). The use of ISA ensures the intactness of IR because it has been excluded from the embedding process. Several experiments have been conducted to test the visual quality, capacity, payload, and the tampering reveal performance. The experiments proved the ability of the proposed technique to reveal and localize any tampering in IR, in addition, the difference between the original iris image and the watermarked iris image is imperceptible
虹膜图像的篡改显示技术
目前,许多基于生物特征的安全系统由于其特点和易用性而依赖虹膜图像进行身份验证。然而,通过开放访问网络存储和共享这些敏感图像会使它们受到篡改。为了保证虹膜图像的安全性,本文提出了一种新的基于变换域水印的篡改揭示技术。在所提出的技术中,使用交互式分割过程(ISA)来选择和隔离虹膜区域。已从虹膜区域(IR)生成认证比特,并将其嵌入虹膜图像的已被命名为非虹膜区域(NIR)的剩余部分的Slantlet变换系数中。ISA的使用确保了IR的完整性,因为它已被排除在嵌入过程之外。已经进行了几个实验来测试视觉质量、容量、有效载荷和篡改揭示性能。实验证明了所提出的技术能够揭示和定位IR中的任何篡改,此外,原始虹膜图像和带水印虹膜图像之间的差异是不可察觉的
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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来源期刊
CiteScore
5.30
自引率
5.00%
发文量
18
审稿时长
15 weeks
期刊介绍: The Journal of Computer Networks and Communications publishes articles, both theoretical and practical, investigating computer networks and communications. Articles explore the architectures, protocols, and applications for networks across the full spectrum of sizes (LAN, PAN, MAN, WAN…) and uses (SAN, EPN, VPN…). Investigations related to topical areas of research are especially encouraged, including mobile and wireless networks, cloud and fog computing, the Internet of Things, and next generation technologies. Submission of original research, and focused review articles, is welcomed from both academic and commercial communities.
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