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Image Superiority Calculation Meant for Biometric Fake Detection Approach of Fingerprint

机译:指纹生物特征伪造检测方法的图像优越性计算手段

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In this work study about the biometric security systems and how fake image differentiate with real image. In this review paper represent a method of fake detection that is a novel software-based method which is used for numerous biometric systems to identify various categories of fraud access attempts and also explained about quality assessment and attacks and method to overcome. Image Quality Analysis for Liveness Detection is based on the premise that: it is obvious that a fake image considered for an attack attempt would have a different quality than a true image having a standard scenario of options for which the sensor has been designed. In order to ensure the true presence of genuine legitimate biometric features in the picture as opposed to a fake or self-made synthetic or replicated sample, there is a significant problem in the field of biometric authentication, which involves the development of novel and efficient security considerations. The purpose of this review paper is to research liveness evaluation in an individual-friendly manner, easily with the use of image quality calculations.
机译:在这项工作中,我们将研究生物识别安全系统以及伪造图像与真实图像的区别。在这篇综述文章中,代表了一种伪造检测方法,该方法是一种基于软件的新颖方法,它被用于许多生物识别系统以识别各种类别的欺诈访问尝试,并且还解释了有关质量评估和攻击以及要克服的方法。用于生命活动检测的图像质量分析基于以下前提:很明显,考虑用于攻击尝试的伪图像与具有标准选项方案的真实图像的质量会有所不同。为了确保图片中真实存在合法的生物特征,而不是假的或自制的合成或复制的样本,生物特征认证领域存在重大问题,涉及开发新颖而有效的安全性注意事项。本文的目的是通过图像质量计算轻松地以个人友好的方式研究活动性评估。

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