Significant Feature Based Representation for Template Protection
Significant Feature Based Representation for Template Protection
复制标题
DOI：
10.1109/cvprw.2019.00293
复制
发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
D. Mohan;Nishant Sankaran;S. Tulyakov;S. Setlur;V. Govindaraju
中科院分区：
文献类型：
--
作者：
D. Mohan;Nishant Sankaran;S. Tulyakov;S. Setlur;V. Govindaraju
生物识别模板的安全性至关重要。生物识别信息的泄漏可能导致私人数据的丢失，并可能导致生物识别系统的危害。然而，模板的安全性往往被忽视，而倾向于性能。在本文中，我们提出了一个即插即用的框架，用于创建安全的人脸模板，系统的性能可以忽略不计的退化。我们提出了一个重要的位表示，保证安全性，除了其他生物特征方面，如可取消性和再现性。除了是可扩展的，所提出的方法不做不切实际的假设有关的姿态或照明的人脸图像。我们提供了两个无约束数据集- IJB-A和IJB-C的实验结果。
The security of biometric templates is of paramount importance. Leakage of biometric information may result in loss of private data and can lead to the compromise of the biometric system. Yet, the security of templates is often overlooked in favour of performance. In this paper, we present a plug-and-play framework for creating secure face templates with negligible degradation in the performance of the system. We propose a significant bit based representation which guarantees security in addition to other biometric aspects such as cancelability and reproducibility. In addition to being scalable, the proposed method does not make unrealistic assumptions regarding the pose or illumination of the face images. We provide experimental results on two unconstrained datasets - IJB-A and IJB-C.