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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >An Improved Revocable Fuzzy Vault Scheme for Face Recognition Under Unconstrained Illumination Conditions
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An Improved Revocable Fuzzy Vault Scheme for Face Recognition Under Unconstrained Illumination Conditions

机译：在无约束照明条件下用于面部识别的改进的可撤销模糊库方案

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The paper presents an improved fuzzy vault approach for face recognition under unconstrained environments. First, we parameterize the number of chaff points needed and determine the threshold separating the genuine points from the chaff points in the vault. The second improvement consists of enhancing the security of the fuzzy vault. Clancy et al. (in: Proceedings of ACM SIGMM2003, 2003) and Mihailescu (in: Computer Vision and Pattern Recognition (cs.CV); Cryptography and Security (cs.CR), 2007) discussed brute-force attacks to prove the weaknesses of the popular Juels and Sudan fuzzy vault method for some parameters such as the total number of points in the vault. To remedy such limitations, we introduce a cancellable and revocable biometric approach for face recognition based on the local binary patterns histograms. In addition to the revocability of the biometric data, we also achieved very recognition accuracy ofmore than 95% outperformingmany of the exiting biometric approaches. More importantly, the proposed approach is developed to secure biometric data and achieve excellent recognition accuracy even under unconstrained environments.
机译：本文提出了一种改进的模糊库方法，用于在不受约束的环境下进行人脸识别。首先，我们对所需的糠糠点数进行参数化，并确定将真正点与库中糠糠点分开的阈值。第二个改进包括增强模糊库的安全性。克兰西等。 （in：ACM SIGMM2003，2003）和Mihailescu（in：Computer Vision and Pattern Recognition（cs.CV）; Cryptography and Security（cs.CR），2007）讨论了蛮力攻击，以证明流行的Juels的弱点以及苏丹模糊库的一些参数，例如库中的总点数。为了弥补这种局限性，我们基于局部二进制模式直方图引入了可取消和可撤消的生物特征识别方法来进行人脸识别。除了生物特征数据的可撤销性之外，我们还实现了非常高的识别精度，超过了现有生物特征方法的95％以上。更重要的是，即使在不受限制的环境下，提出的方法也可以确保生物特征数据的安全并获得出色的识别精度。

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