Digital Signature Verification using Deep Learning

Digital signature verification plays a vital role in bank and finance system security. The research suggests a deep learning approach to identify signatures as authentic by comparing them with an original reference signature. This approach examines the signature to verify its authenticity, deeming it verified if highly similar to the reference, and unverified else. The model suggested utilizes deep learning methods for feature extraction and accuracy enhancement. The aim is to present a secure and effective solution for digital signature verification.