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A novel cancellable Iris template generation based on salting approach

机译:一种基于腌制方法的新型可消耗虹膜模板生成

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摘要

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.
机译:在理论上和经验上,虹膜在识别性能方面被广泛地被认为是强大的生物识别学之一。然而,传统的无保护的虹膜生物识别计划非常容易受到许多隐私和安全攻击的影响。已经提出了几种方法来生成可用于识别的可消耗虹膜模板;然而,与传统的未受保护的IRIS模板相比,这些模板可实现较低的识别准确性。本文介绍了一种基于腌制方法的新型可消耗虹膜识别方案。这取决于使用XOR操作的合成图案混合原始二进制虹膜码。该方案保证了高度隐私/安全保存,而不受不受保护的传统虹膜识别计划相比的性能准确性。各种虹膜图像数据库的综合实验表现出与原始对应物的相似的准确性。因此,保证了对若干主要隐私/安全攻击的鲁棒性。

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