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首页> 外文期刊>International journal of digital crime and forensics >Fingerprint Image Hashing Based on Minutiae Points and Shape Context
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Fingerprint Image Hashing Based on Minutiae Points and Shape Context

机译：基于细节点和形状上下文的指纹图像散列

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摘要

Fingerprint minutiae is the unique representation of fingerprint image feature points as terminations and bifurcations. Therefore, generating a hash signature from these feature points will unarguably meet the desired properties of a robust hash signature and which will accurately fit in for fingerprint image content authentication purposes. This article proposes a novel minutiae and shape context-based fingerprint image hashing scheme. Fingerprint image minutiae points were extracted by incorporating their orientation and descriptors, then embedded into the shape context-based descriptors in order to generate a unique, compact, and robust hash signature. The robustness of the proposed scheme is determined by performing content preserving attacks, including noise addition, blurring and geometric distribution. Efficient results were achieved from the given attacks. Also, a series of evaluations on the performance comparison between the proposed and other state-of-art schemes has proven the approach to be robust and secure, by yielding a better result.
机译：指纹细节是指纹图像特征点作为终结点和分叉点的唯一表示。因此，从这些特征点生成哈希签名无疑将满足鲁棒哈希签名的所需属性，并且将准确地适合于指纹图像内容认证的目的。本文提出了一种新颖的基于细节和形状上下文的指纹图像哈希方案。通过合并指纹的细节点的方向和描述符来提取指纹，然后将其嵌入到基于形状上下文的描述符中，以生成唯一，紧凑且健壮的哈希签名。通过执行内容保留攻击（包括噪声添加，模糊和几何分布）来确定所提出方案的鲁棒性。从给定的攻击中获得了有效的结果。此外，对提议的方案和其他最新方案之间的性能比较进行的一系列评估也证明了该方法是稳健且安全的，并产生了更好的结果。

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