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Multimodal Liveness Detection System for Hand Vein Biometrics

机译：用于手部静脉生物特征识别的多模式生命检测系统

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摘要

Due to the advent of biometric technologies in the past two decades, the switch from research laboratories to mainstream application has also attracted a wave of identity theft and biometric spoofing. This is particularly evident in the case of newer and less mature technologies such as the biometric recognition of hand vein patterns. Liveness detection methods have become a necessity for any biometric system but in the case of vein patterns, there are unexplored options that can increase the degree of security of the system. The paper describes a multimodal liveness detection system by fusing capacitive sensing arrays, temperature and pressure monitoring together with a software post processing technique previously described by the authors. While there is an added layer of complexity, both the sensors and the data extracted from them do not require significant financial or computational needs. By applying this method to an existent biometric vein scanner, the degree of protection of the system is increased due to the added constrains required for a sample to be analyzed by the system.
机译：由于过去二十年来生物识别技术的出现，从研究实验室向主流应用的转变也吸引了身份盗窃和生物识别欺骗的浪潮。在更新和较不成熟的技术（例如手静脉图案的生物特征识别）的情况下，这一点尤其明显。活度检测方法已成为任何生物识别系统的必要条件，但是在静脉模式的情况下，存在未开发的选项可以提高系统的安全性。该论文通过融合电容式传感阵列，温度和压力监控以及作者先前描述的软件后处理技术，描述了一种多模式活度检测系统。尽管增加了一层复杂性，但是传感器和从传感器中提取的数据都不需要大量的财务或计算需求。通过将该方法应用于现有的生物特征静脉扫描仪，由于系统要分析样品所需的额外约束，系统的保护程度得到了提高。

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