基于人脸识别的银行欺诈检测系统

Shehla Shoukat, Sheeraz Akram
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引用次数: 0

摘要

安全性是任何系统的主要关注点。骗子通过各种手段不断获取用户的账户信息,给银行系统和用户造成巨大损失。基于机器学习的技术被广泛用于避免这种风险。基于人脸识别的系统是不够的,特别是在银行业。teatable Machine是一个基于web的工具,它使构建机器学习模型快速,简单,并且每个人都可以访问。因此,为了阻止这些欺诈行为,我们需要强大的欺诈检测方法或系统来检测欺诈行为,我们提出了一种利用人脸识别特征和人脸识别系统来提高社会安全水平的唯一方法。它利用了人脸识别和人脸识别认证的特点,使得交易比传统的支付方式更加安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fraud Detection System Using Facial Recognition Based On Google Teachable Machine for Banking Applications
Security is major concern for any system. The scammer continually tries to obtain the user's account information by applying different tricks to perform fraud that cost the banking system and user huge loss. Machine learning based techniques are most extensively being used to avoid this risk. Face recognition based systems are not sufficient especially in banking sectors. Teachable Machine is a webbased tool that makes building machine learning models fast, easy, and accessible to everyone. So in order to stop those fraudulent we should need powerful fraud detection method or system by which detect fraud .We have proposed a only method by using face recognition features along with face recognition systems to boot the security level of the society against the fraudsters. It is using the features of face recognition and face recognition authentication which makes the transaction more secure as compared to the traditional payment.
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