Enhancing Digital Cheque Security: A Machine Learning Approach to Signature Fraud Mitigation

Abstract: Banks and financial systems must utilize signatures as a biometric authentication mechanism. There are two kinds of signatures: offline and online. Offline signatures are the favoured choice due of their simplicity and uniqueness. Digital checks require the same signatures as traditional checks: payer and payee. Using this proposed way, we develop a security system that validates entry applications and evaluates password alternatives. In addition to clearing bank checks and identifying problems, the proposed method will create a system for online digital signature validation, confidentiality, and fraud prevention. The goal is to successfully validate the legitimacy of online-generated digital checks using signatures