Cancelable Biometrics with Perfect Secrecy for Correlation-Based Matching
Cancelable Biometrics with Perfect Secrecy for Correlation-Based Matching
复制标题
可取消的生物识别技术，具有完美的保密性，可用于基于相关性的匹配
DOI：
10.1007/978-3-642-01793-3_88
复制
发表时间：
2009
期刊：
影响因子：
9.4
通讯作者：
Kenta Takahashi
中科院分区：
文献类型：
--
作者：
Shinji Hirata;Kenta Takahashi
在本文中，我们提出了一种新的方法，可取消的生物特征的相关匹配。通过数论变换（有限域上的类傅立叶变换）对生物特征图像进行变换，然后用随机滤波器对变换后的数据进行掩蔽。通过应用特定种类的掩蔽技术，可以在掩蔽域（即，加密域）而不知道原始图像。并从理论上证明了该方法的隐蔽性，即该方法具有完全保密性。此外，我们将我们提出的方法应用于手指静脉图案验证，并在实验中获得了非常高的验证性能。
In this paper, we propose a novel method of Cancelable Biometrics for correlation-based matching. The biometric image is transformed by Number Theoretic Transform (Fourier-like transform over a finite field), and then the transformed data is masked with a random filter. By applying a particular kind of masking technique, the correlation between the registered image and the input matching image can be computed in masked domain (i.e., encrypted domain) without knowing the original images. And we proved theoretically that in our proposed method the masked version does not leak any information of the original image, in other words, our proposed method has perfect secrecy. Additionally, we applied our proposed method to finger-vein pattern verification and experimentally obtained very high verification performance.