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Multispectral Imaging for Biometrics

机译:生物特征学的多光谱成像

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Automated identification systems based on fingerprint images are subject to two significant types of error: an incorrect decision about the identity of a person due to a poor quality fingerprint image and incorrectly accepting a fingerprint image generated from an artificial sample or altered finger. This paper discusses the use of multispectral sensing as a means to collect additional information about a finger that significantly augments the information collected using a conventional fingerprint imager based on total internal reflectance. In the context of this paper, "multispectral sensing" is used broadly to denote a collection of images taken under different polarization conditions and illumination configurations, as well as using multiple wavelengths. Background information is provided on conventional fingerprint imaging. A multispectral imager for fingerprint imaging is then described and a means to combine the two imaging systems into a single unit is discussed. Results from an early-stage prototype of such a system are shown.
机译:基于指纹图像的自动识别系统会遇到两种主要类型的错误:由于质量差的指纹图像而导致的关于人的身份的错误决定,以及错误地接受了由人工样本或手指改变产生的指纹图像。本文讨论了使用多光谱感测作为一种手段来收集有关手指的其他信息的方法,该方法可大大增强使用基于内部总反射率的常规指纹成像仪所收集的信息。在本文的上下文中,“多光谱感应”被广泛用于表示在不同的偏振条件和照明配置以及使用多个波长的情况下拍摄的图像的集合。提供有关常规指纹成像的背景信息。然后描述了用于指纹成像的多光谱成像器,并且讨论了将两个成像系统组合成单个单元的手段。显示了这种系统的早期原型的结果。

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