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Composition of Methods to Ensure Iris Liveness and Authenticity

机译:确保虹膜活力和真实性的方法的构成

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In a biometric system technology, a person is authenticated based on processing the unique features of the human biometric signs. One of the well known biometric systems is iris recognition, this technique being considered as one of the most secure authentication solutions in the biometric field. However, several attacks do exist that are able to spoof iris. In this paper, we propose a novel approach for securing the iris recognition system by eye liveness detection technique. The proposed system detects the eye liveness, and recognises the iris. This process includes multiple steps. As per the first step, the person opens his eye and the system reads remotely the changes in pupil size as a result of the response to the ambient illumination. Then, the system starts matching the iris with a database. The second step: the person closes his eye and the system remotely detects the heartbeats signals under the skin of the eyelid. As per the third step, the person opens his eyes again and the system reads the pupil size again and compares the results of the pupil size, and then the system matches again the iris with the above database. For the iris recognition to be validated, all the above checks have to be passed. We have conducted several experiments with our proposed system, based on a brand new dataset comprised of 40 subjects. In addition, we also used public terval, CASIA-Twin and Ubiris.V1. The achieved results show the quality and viability of our proposal.
机译:在生物识别系统技术中,基于处理人类生物识别符号的独特功能的人进行认证。众所周知的生物识别系统之一是虹膜识别,该技术被认为是生物识别场中最安全的认证解决方案之一。然而,存在能够欺骗虹膜的若干攻击。在本文中,我们提出了一种通过眼睛活跃检测技术来保护虹膜识别系统的新方法。建议的系统检测到眼睛活跃,并识别虹膜。此过程包括多个步骤。根据第一步,该人打开他的眼睛,并且由于对环境照明的响应,系统将远程读取瞳孔大小的变化。然后,系统开始使用数据库与IRIS匹配。第二步:该人关闭他的眼睛,系统远程检测眼睑皮肤下的心跳信号。根据第三步,该人再次打开他的眼睛,并且系统再次读取瞳孔大小并比较瞳孔大小的结果,然后系统将虹膜与上述数据库再次匹配。对于令人核准的虹膜识别,必须通过上述所有支票。我们对我们所提出的系统进行了几次实验,基于由40名科目的全新数据集进行。此外,我们还使用公共Terval,Casia-Twin和Ubiris.v1。达到的结果表明了我们提案的质量和可行性。

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