forgery detection technology

Forgery detection technology uses advanced computer algorithms and digital tools to identify fake documents, images, or signatures. It analyzes elements like patterns, textures, and data consistency to spot inconsistencies or signs of tampering. For example, it can examine a scanned signature for unnatural strokes or detect alterations in an image through pixel analysis. These technologies often rely on artificial intelligence and machine learning to improve accuracy over time. The goal is to provide objective, reliable verification, helping organizations confirm authenticity and prevent fraud, all while maintaining efficiency and security.