This article points out the fallacies in the theory and its implementation proposed by Kaur and Khanna. They have set out a cancelable biometric-based template protection method to address the security and privacy concerns emerging from the use of biometric systems. There are three major issues associated with the method proposed in their study. The first issue relates to the mathematical fallacy in the proof of the random distance method. The second issue concerns the claim of dimension-reduction by 50%, despite the fact that RDM does not preserve inter- and intra-user variations. The third issue is in salting the feature vectors using the OR operation between the feature vectors and random grid (RG), which is incorrect. As it will result in revealing partial information only and will not increase entropy. Furthermore, they have stated that their approach results in noninvertibility using the median filtering. However, its implementation is flawed.

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评论__生成单峰和多峰可取消生物特征的随机距离方法_


本文指出了考尔和卡纳提出的理论及其实施中的谬误。他们提出了一种可取消的基于生物识别的模板保护方法，以解决因使用生物识别系统而出现的安全和隐私问题。他们的研究中提出的方法存在三个主要问题。第一个问题涉及随机距离法证明中的数学谬误。第二个问题涉及维度减少 50% 的说法，尽管 RDM 并不保留用户间和用户内的变化。第三个问题是使用特征向量和随机网格 (RG) 之间的 OR 运算对特征向量进行加盐，这是不正确的。因为它只会显示部分信息并且不会增加熵。此外，他们还表示，他们的方法使用中值滤波可实现不可逆性。然而，它的实施是有缺陷的。