首页> 外文会议>2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops >Obtaining cryptographic keys using feature level fusion of iris and face biometrics for secure user authentication
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Obtaining cryptographic keys using feature level fusion of iris and face biometrics for secure user authentication

机译:使用虹膜和面部生物特征的特征级融合来获取加密密钥,以实现安全的用户身份验证

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摘要

Biometric traits are permanently associated with a user. Though this is an advantage from identity verification point of view, if such biometric data is compromised, it cannot be replaced by a new one and becomes unusable in the system. This limitation can be overcome by combining biometrics with cryptographic techniques to induce revocability in biometric systems. In this paper, a multi-biometrics based cryptographic key regeneration scheme is proposed which combines information from iris and face to obtain a long cryptographic key having high entropy. The biometric information fusion is carried in feature domain using weighted feature level fusion technique. With the proposed system, we obtain 210-bit keys with 183-bit entropy (which is significantly higher than the 83-bit entropy obtained for iris), at a False Acceptance Rate of 0% and a False Rejection Rate of 0.91%.
机译:生物特征与用户永久相关联。尽管从身份验证的角度来看这是一个优势,但是,如果此类生物特征数据遭到破坏,则无法用新的生物特征数据替换,从而无法在系统中使用。通过将生物识别技术与密码技术相结合以在生物识别系统中引起可撤销性,可以克服此限制。在本文中,提出了一种基于多生物学的密码密钥再生方案,该方案将虹膜和面部信息相结合以获得具有高熵的长密码密钥。使用加权特征级别融合技术在特征域中进行生物特征信息融合。使用所提出的系统,我们获得了183位熵(大大高于虹膜获得的83位熵)的210位密钥,错误接受率为0%,错误拒绝率为0.91%。

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