AutoKYC:使用文本提取和人脸识别实现KYC过程中身份建立和认证的自动化

Shivam Chaubey, S. Bhalerao, Nikhita Mangaonkar
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引用次数: 4

摘要

autkyc是为想要在进行KYC时验证用户身份的组织(例如银行)设计的系统。这些组织面临着虚假账户创建的巨大担忧,从而在利益相关者的心目中塑造了虚假形象。因此,AutoKYC将是一个允许这些组织建立用户身份的系统,不仅基于他们提交的证据,还基于面部验证。AutoKYC遵循一套多步骤验证来建立个人身份。用户身份验证的闭环使得该系统也可以用于公共分配部门,在公共分配部门,用户的数据和证明可以作为确保公平交付的手段,并在系统中提出清晰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AutoKYC: Automation of Identity establishment and authentication in KYC process using Text extraction and face recognition
AutoKYC is a system designed for the organization who wants to verify the identity of the users while doing their KYC for example, a bank. These organizations face a big concern of fake account creation and thus portrays a false image in minds of stakeholders. So, AutoKYC would be a system which would allow these organizations to establish the identity of the users not only on the basis of the proof they have submitted but the face verification as well. AutoKYC follows the set of multi-step verification in order to establish the identity of person. The closed loop of identity verification for the users enables the system to be used in Public Distribution Sectors as well, where the data of the user and the proof can be a means to ensure the fair delivery and propose clarity in the system.
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