Hidden biometrics: Towards using biosignals and biomedical images for security applications

A. Nait-Ali
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引用次数: 22

Abstract

When dealing with biometrics, we generally refer to security biometrics which is a set of techniques used to identify an individual using his biological or behavioral features. But sometimes, biometrics, in particular medical biometrics, refers to some specific methods that are used to quantify or to measure some parameters extracted from medical data. In this paper, we bridge the gap between the security biometrics and the medical biometrics and we try to discuss and highlight the idea which consists in using medical data, such as biosignals, MRI images and X-Ray images for the purpose of individual identification or verification. This is what we call the “Hidden biometrics” or “Intrinsic biometrics”. As we will see, some of the techniques using biosignals are suited for applications requiring frequent up-dates and other approaches which use medical images are particularly robust regarding any potential forgery.
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隐藏生物识别技术:将生物信号和生物医学图像用于安全应用
当涉及到生物识别技术时,我们通常指的是安全生物识别技术,这是一套利用个人的生物或行为特征来识别个人的技术。但有时,生物识别技术,特别是医学生物识别技术,是指用于量化或测量从医学数据中提取的某些参数的一些特定方法。在本文中,我们弥合了安全生物识别和医学生物识别之间的差距,并试图讨论和强调使用医学数据(如生物信号,MRI图像和x射线图像)进行个人身份识别或验证的想法。这就是我们所说的“隐性生物识别”或“内在生物识别”。正如我们将看到的,一些使用生物信号的技术适用于需要频繁更新的应用,而其他使用医学图像的方法对于任何潜在的伪造都特别强大。
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