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This repository contains the source code and documentation for a Signature Verification System Using CNN. The system utilizes Convolutional Neural Networks (CNN) to authenticate handwritten signatures, reducing the risk of forgery and falsification in legal, financial, and commercial transactions.
The client-server script example is designed for a simplified authentication process. The idea behind it is to simulate user registration, challenge-response authentication, and login. It provides a framework for understanding and implementing such authentication mechanisms in a client-server environment.
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.