基于模糊循环随机映射的人脸生物特征加密算法

Face-hashing Algorithm Based on Fuzzy Cyclic Random Mapping

随着生物特征识别技术的广泛应用,其安全性方面的缺陷也逐渐暴露出来。密码技术与生物特征识别技术相结合的生物特征加密技术,就是为了弥补生物特征识别在安全方面的不足而产生的。在研究已有人脸生物特征识别技术的基础上,提出一种兼具安全性及容错能力的人脸生物特征加密算法:模糊循环随机映射(Fuzzy Cyclic Random Mapping,FCRM)。在每次循环中,加密模型使用前一次循环的密钥作为随机种子生成映射矩阵,对用户的人脸特征进行映射,形成一个循环的随机映射过程。加密过程中,还使用了容错技术来减少合法用户人脸图像和特征的随机噪声对识别率的影响,而循环的映射过程能够在不减少认证准确率的前提下,阻止非法用户通过认证。

With the broad application of various biometric technologies,their deficiencies on safety are gradually exposed.The biometric encryption technology,as the combination of biometric recognition and cryptography technology,was proposed to ensure the safe usage of biometrics.Based on our previous researches on face biometrics,we proposed a face-hashing algorithm,i.e.Fuzzy Cyclic Random Mapping（FCRM）,which considers both the security and the fault tolerance.In each cycle,the encryption model utilizes the key of the previous cycle as a random seed to generate a mapping matrix and makes random mapping of the face features.Thus the proposed algorithm forms a cyclic random mapping process.We also adopted the fault-tolerant technology in the proposed algorithm to reduce the impact of random noise existing in the face images of the genuine users,while the cyclic mapping process can simultaneously prevent the imposter to authenticate the system without reducing the accuracy.