Efficient iris sample data protection using selective JPEG2000 encryption of normalised texture

Martin Rieger, Jutta Hämmerle-Uhl, A. Uhl
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引用次数: 6

Abstract

Biometrie system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed iris data by conducting iris recognition on the selectively encrypted data. This paper specifically investigates the effect of applying the approach to normalised texture data instead of original sample data in order to further reduce the amount of data to be processed (i.e. compressed and encrypted). Result generalisability is facilitated by the employment of four different iris feature extraction schemes and the systematic consideration of three encryption variants. Depending on the applied iris recognition scheme, protection equivalent to full encryption can be achieved when encrypting 1/60–1/12 of the data amount of a full iris sample encoded in a JPEG2000 file.
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采用规范化纹理的选择性JPEG2000加密,有效保护虹膜样本数据
生物识别系统的安全性要求在特定情况下对样本数据进行加密保护。我们通过对选择性加密数据进行虹膜识别来评估适用于JPEG2000压缩虹膜数据的低复杂度选择性加密方案。本文专门研究了将该方法应用于归一化纹理数据而不是原始样本数据的效果,以进一步减少需要处理的数据量(即压缩和加密)。通过采用四种不同的虹膜特征提取方案和系统地考虑三种加密变体,促进了结果的通用性。根据所应用的虹膜识别方案,对JPEG2000文件中编码的完整虹膜样本数据量的1/60-1/12进行加密,可以实现相当于完全加密的保护。
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