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Image Quality (IQ) based liveness detection system for multi-biometric detection

机译:基于图像质量(IQ)的生物检测系统

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Biometric Systems gained attention in all over the world because of its reliability and user friendly approach. In contrast to these advantages, these biometric systems are highly fence less to fraudulent attacks via fake self manufactured, synthetic or reconstructed samples which is particular problem of biometrics. To ensure the security of biometric system, needs to develop a novel method which reduce the vulnerability. Here, we proposed a novel software based method based on liveness detection system to detect the real and fake samples by using Image Quality Assessment(IQA) for multiple biometric system achieving the objective enhancing the security level of biometric recognition framework. For experimental results, real and dummy database of fingerprint and face has been taken. From one image, 14 image quality measures has been determined which helps in distinguishing the real and fake samples. The proposed system is fast, user-friendly, provides high performance, non-invasive in nature and having low cost and highly competitive than other state of the art approaches. After analysis of the image quality of real and fake biometric samples, it conveys the valuable information which efficiently helps in distinguishes them from fake samples.
机译:生物识别系统由于其可靠性和用户友好的方法而受到全世界的关注。与这些优点相反,这些生物识别系统通过伪造的自我制造的,合成的或重建的样本,对生物识别的特殊问题的防伪攻击的抵制能力大大降低。为了确保生物识别系统的安全性,需要开发一种减少漏洞的新颖方法。在此,我们提出了一种基于软件的基于活度检测系统的新颖方法,通过对多个生物特征识别系统使用图像质量评估(IQA)来检测真假样本,从而达到提高生物特征识别框架安全性的目的。为了获得实验结果,采用了指纹和面部的真实和虚拟数据库。从一张图像中,已确定14种图像质量度量,这有助于区分真实和伪造样本。所提出的系统是快速的,用户友好的,提供高性能的,本质上是非侵入性的并且与其他现有技术水平的方法相比具有低成本和高度竞争性。在分析了真实和伪造生物特征样本的图像质量之后,它传达了有价值的信息,可有效地帮助区分它们与伪造样本。

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