Paper Contents
Abstract
This project presents a Signature Recognition System using Machine Learning to automatically verify and identify handwritten signatures. The system processes signature images using preprocessing techniques such as noise removal and normalization, extracts distinctive features, and applies machine learning models to classify genuine and forged signatures. The proposed approach improves accuracy, reduces manual verification effort, and enhances security in applications like banking, document authentication, and access control.
Copyright
Copyright © 2025 Shivakumar C Chikkanaragund. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS51200031055
ISSN:
2321-9653
Publisher:
ijprems