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引用次数: 0

摘要

身份验证在我们的日常生活中起着至关重要的作用。无论是在你的办公室、学院、大学、医院、银行、社交媒体账户,还是其他地方。目前,大多数身份验证系统都使用单一度量来确定真实性(即密码)。虽然有些系统使用多因素身份验证,其中包括otp,唯一代码,如基于时间的代码等,但它们需要额外的设备来携带。在我们的项目中,我们希望开发一个多模式身份验证系统,在该系统中,我们使用一个人的唯一指标来识别他,例如面部和指纹。为了开发这样一个系统,我们使用了树莓派、OpenCV和AWS服务。
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Multifactor Authentication System
Authentication plays a crucial role in our day-to-day life. Whether it is in your office, college, university, hospitals, banks, social media account, and whatnot. In the present day, most authentication systems are using a single metric to determine authenticity (i.e., password). Although there are some systems that use Multi-Factor Authentication which includes OTPs, unique codes such as Time-based codes, etc., they require an additional device to carry. In our project, we want to develop a Multi-modal Authentication system where we use the unique metrics of a person to identify him such as the face, and fingerprint. In order to develop such a system, we made use of Raspberry Pi, OpenCV, and AWS services.
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