Signature Forgery Detection using Siamese Network with MobileNetV2

This project focused on building an AI-powered system for forensic applications. I implemented a Siamese Network using MobileNetV2 as the backbone to detect signature forgery. The model compares pairs of signature images and determines their similarity. The solution helps in identifying fraudulent signatures with high accuracy, showcasing skills in computer vision, transfer learning, and similarity learning.