Soliman Randa F, El Banby Ghada M, Algarni Abeer D, Elsheikh Mohamed, Soliman Naglaa F, Amin Mohamed, Abd El-Samie Fathi E
Appl Opt. 2018 Dec 10;57(35):10305-10316. doi: 10.1364/AO.57.010305.
Most modern security systems depend on biometrics. Unfortunately, these systems have suffered from hacking trials. If the biometric databases have been hacked and stolen, the biometrics saved in these databases will be lost forever. Thus, there is a desperate need to develop new cancelable biometric systems. The basic concept of cancelable biometrics is to use another version of the original biometric template created through a one-way transform or an encryption scheme to keep the original biometrics safe and away from utilization in the system. In this paper, the optical double random phase encoding (DRPE) algorithm is utilized for cancelable face and iris recognition systems. In the proposed cancelable face recognition scheme, the scale invariant feature transform is used for feature extraction from the face images. The extracted feature map is encrypted with the DRPE algorithm. The proposed cancelable iris recognition system depends on the utilization of two iris images for the same person and features are extracted from both images. The features extracted from one of the iris images are encrypted with the DRPE algorithm, provided that the second phase mask used in the DRPE is generated from the other iris image features. This trend guarantees some sort of feature fusion between the two iris images into a single cancelable iris code and increases user privacy. Simulation results show good performance of the two proposed cancelable biometric schemes even in the presence of noise, especially with the proposed cancelable face recognition scheme.
大多数现代安全系统都依赖生物识别技术。不幸的是，这些系统遭受了黑客攻击的考验。如果生物识别数据库被黑客攻击并被盗，存储在这些数据库中的生物特征将永远丢失。因此，迫切需要开发新的可撤销生物识别系统。可撤销生物识别技术的基本概念是使用通过单向变换或加密方案创建的原始生物特征模板的另一个版本，以保护原始生物特征安全并使其不在系统中被使用。在本文中，光学双随机相位编码（DRPE）算法被用于可撤销的面部和虹膜识别系统。在所提出的可撤销人脸识别方案中，尺度不变特征变换用于从面部图像中提取特征。提取的特征图用DRPE算法进行加密。所提出的可撤销虹膜识别系统依赖于对同一个人的两个虹膜图像的使用，并从这两个图像中提取特征。从其中一个虹膜图像中提取的特征用DRPE算法进行加密，前提是DRPE中使用的第二相位掩模是根据另一个虹膜图像的特征生成的。这种趋势保证了两个虹膜图像之间某种程度的特征融合，形成一个单一的可撤销虹膜码，并增加了用户隐私。仿真结果表明，即使在存在噪声的情况下，所提出的两种可撤销生物识别方案也具有良好的性能，特别是所提出的可撤销人脸识别方案。
