An Investigation of Biometric Authentication in the Healthcare Environment
An Investigation of Biometric Authentication in the Healthcare Environment
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DOI：
10.1016/j.array.2020.100042
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发表时间：
2020-12-01
期刊：
影响因子：
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通讯作者：
Roy, Kaushik
中科院分区：
文献类型：
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作者：
Mason, Janelle;Dave, Rushit;Roy, Kaushik
在生物识别领域和医疗保健行业中发生了巨大的增长。生物识别技术提供了基于个人的身体和行为特征来识别个人的能力。生物特征识别技术和信息系统在医疗环境中的融合为确定患者身份提供了一种新的方法。在本文中，我们研究的生物识别系统和认证过程中使用眼周生物特征。我们将这种方法与医疗保健系统相结合，以提供一种先进的方法来安全地识别患者。我们提出了一种新的技术，融合使用眼周生物识别和电子主患者索引在医疗信息系统中，以确定人类在医疗环境中。在我们的研究中，对不同的眼周生物特征识别方法进行了比较分析，并对各种传统和基于深度学习的方法进行了评估。
A vast amount of growth has taken place in the field of biometrics and in the healthcare industry. Biometrics provides the ability to identify individuals based on their physical and behavioral characteristics. The fusion of biometrics and information systems in the healthcare environment has provided a new approach to determine the identity of patients. In this paper, we investigate the biometric system and the authentication process using periocular biometrics specifically. We integrate this approach with the healthcare system to provide an advanced method to identify the patients securely. We propose a new technique that fuses the use of periocular biometrics and the electronic master patient index in healthcare information systems to identify humans in the healthcare environment. A comparative analysis of different periocular biometric recognition methods is conducted and assessed against various traditional and deep learning-based methods in our research study.