基于深度学习方法的在线数字支票签名验证

A. M., S. Suvarna, Rajgopal K T
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引用次数: 0

摘要

在银行和金融系统中,使用签名作为生物识别认证方法是至关重要的。签名的两种形式是离线和在线,离线签名是更受欢迎的选择,因为它们非常简单和独特。付款人和收款人都必须签署数字支票,就像纸质支票一样。在这个建议的方法中,我们建立了一个安全系统,验证入口申请和评估密码替代品。拟议的方法将创建一个系统,可以在线验证数字签名,同时为银行清算支票并检测任何缺陷,保证保密性并防止欺诈。目标是成功验证包含签名的在线数字检查的有效性。
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Online Digital Cheque Signature Verification using Deep Learning Approach
The use of a signature as a biometric authentication method is crucial in banking and financial systems. The two forms of signatures are offline and online, with offline signatures being the more popular choice because of how straightforward and distinctive they are. The payer and payee must both sign digital cheques, just like paper ones. In this proposed approach we build a security system, verifying entrance applications and evaluating password substitutes. The proposed approach will create a system that can authenticate digital signatures online while clearing checks for banks and detecting any flaws, guaranteeing confidentiality and preventing fraud. The goal is to successfully validate the validity of online digital checks that contain signatures.
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