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作 者:高艳娜 刘笑楠[1] GAO Yanna;LIU Xiaonan(School of Information Science and Engineering,Shenyang University of Technology,Shenyang 110870,China)
机构地区:[1]沈阳工业大学信息科学与工程学院,沈阳110870
出 处:《微处理机》2021年第4期42-46,共5页Microprocessors
摘 要:针对不可逆变换虹膜模板保护方法在虹膜识别系统中的模板泄露问题,提出一种融合人脸特征信息的基于双Bloom过滤器与离散对数的虹膜模板保护方法。采用Log-Gabor变换提取用户的虹膜特征,采用等价模式的LBP算法提取用户人脸特征,将量化的人脸特征通过离散对数转化为十进制密钥特征,然后将其嵌入到虹膜双Bloom过滤器变换中,在异或阶段对十进制人脸密钥特征进行异或,最后依据分数汉明距离对加密模板进行匹配识别。采用两种虹膜图库进行测试,验证算法性能,实验结果表明,识别正确率达97.22%,同时满足生物特征模板保护的不可逆性、可撤销性以及不可链接性。Aiming at the problem of template leakage in iris recognition system based on irreversible transform iris template protection method,an iris template protection method based on double bloom filter and discrete logarithm is proposed.The Log-Gabor transform is used to extract the iris features of users,and the LBP algorithm of equivalent mode is used to extract the face features of users.The quantized face features are transformed into decimal key features through discrete logarithm,and then embedded into the iris double Bloom filter transform.The decimal face key features are XORed in the XOR stage.Finally,the encrypted template is matched and identified according to the fractional Hamming distance.Two kinds of iris image libraries are used to test the performance of the algorithm.The experimental results show that the recognition accuracy is 97.22%,and the irreversibility,revocability and unlinkability of biometric template protection are met.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]
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