基于虹膜特征提取密钥的图像加密算法

Wei Wei, Zhou Jun
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引用次数: 6

摘要

加密算法存在长密钥的记忆和存储问题,因此将生物特征与传统加密算法相结合是一个新的研究方向。提出了一种基于虹膜特征和AES的密钥加密算法。在虹膜图像预处理阶段的基础上,利用二维Haar小波将虹膜有效区域分解为三层。提取第三层的细节系数,生成375位虹膜码,利用单元映射函数从虹膜码中提取128位密钥。对尺寸为512×512的图像进行AES加解密实验。实验结果表明,加密后的图像具有较高的安全性,达到了保护图像信息的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image encryption algorithm Based on the key extracted from iris characteristics
There is memory and storage problem of long key in encryption algorithm, so combining biometric characteristic with the traditional encryption algorithm is a new research direction. An encryption algorithm based on key from iris features and AES is proposed. On the basis of iris images preprocessing stage, effective iris area is decomposed to three layers by 2D Haar wavelet. Detail coefficients from the third layer is extracted and 375-bit iris codes is generated, 128-bit key is extracted from iris codes by using unit mapping function. The encryption and decryption experiments with AES was applied on the image with size of 512×512. Experimental result shows that the encrypted image has high security, also the purpose of protecting image information is reached.
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