The iris has been vastly recognized as one of the powerful biometrics in terms of recognition performance, both theoretically and empirically. However, traditional unprotected iris biometric recognition schemes are highly vulnerable to numerous privacy and security attacks. Several methods have been proposed to generate cancellable iris templates that can be used for recognition; however, these templates achieve lower accuracy of recognition in comparison to traditional unprotected iris templates. In this paper, a novel cancellable iris recognition scheme based on the salting approach is introduced. It depends on mixing the original binary iris code with a synthetic pattern using XOR operation. This scheme guarantees a high degree of privacy/security preservation without affecting the performance accuracy compared to the unprotected traditional iris recognition schemes. Comprehensive experiments on various iris image databases demonstrate similar accuracy to those of the original counterparts. Hence, robustness to several major privacy/security attacks is guaranteed.

从理论上和经验上，虹膜已被广泛认为是功能强大的生物识别技术之一。但是，传统的未保护虹膜生物特征识别方案极易受到众多隐私和安全攻击的攻击。已经提出了几种方法来生成可用于识别的可取消虹膜模板。但是，与传统的未保护虹膜模板相比，这些模板的识别精度较低。本文提出了一种基于盐析方法的可取消虹膜识别方案。这取决于使用XOR操作将原始二进制虹膜代码与合成模式混合。与未保护的传统虹膜识别方案相比，该方案可确保高度的隐私/安全保护，而不会影响性能准确性。在各种虹膜图像数据库上进行的综合实验表明，其准确性与原始同类图像相似。因此，可以保证对几种主要隐私/安全攻击的鲁棒性。