Additional Security in ATM Transactions Using Face Recognition and OTP Verification

Aditi Mohite, Sourav Joshi, Riddhi Joshi, Riddhi R. Mirajkar, Siddhi Kunjir
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Abstract

In the contemporary digital landscape, this project presents an innovative ATM security system that seamlessly integrates face recognition authentication and OTP (One-Time Password) verification, significantly enhancing security in financial transactions. The system adopts a robust yet flexible approach, initiating with users entering their username and password. Subsequently, their face is captured and analyzed through the LBPH algorithm. Successful face recognition grants access for secure transactions. For situations necessitating an alternative access method, such as withdrawals by trusted individuals, the system smoothly transitions to OTP verification. In case face recognition fails, an OTP is generated and dispatched to the user's registered mobile number, enabling authorized parties to proceed with transactions. This dynamic approach ensures stringent control over account access while facilitating secure and convenient financial transactions. By amalgamating cutting-edge technology with adaptability and user-friendliness, this system offers a comprehensive security framework for ATM systems in the modern financial technology landscape.
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使用人脸识别和 OTP 验证提高 ATM 交易的安全性
在当代数字环境下,该项目提出了一种创新的自动取款机安全系统,将人脸识别验证和 OTP(一次性密码)验证无缝整合在一起,大大提高了金融交易的安全性。该系统采用了一种稳健而灵活的方法,用户首先要输入用户名和密码。随后,通过 LBPH 算法对用户的面部进行捕捉和分析。人脸识别成功后,即可进行安全交易。在需要使用其他访问方法的情况下,例如受信任的个人取款,系统会顺利过渡到 OTP 验证。如果人脸识别失败,系统会生成一个 OTP 并发送到用户注册的手机号码上,使授权方能够继续进行交易。这种动态方法可确保对账户访问的严格控制,同时促进安全便捷的金融交易。通过将尖端技术与适应性和用户友好性相结合,该系统为现代金融技术领域的 ATM 系统提供了一个全面的安全框架。
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