Researchers present a novel framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. The researchers' framework uses fuzzy association rules ...

FTIR spectroscopy detects counterfeit electronics fast and effectively. [1] It provides a critical solution in the fight against counterfeit products that threaten various sectors of our economy. As ...

A new smartphone application developed by researchers at ETH Zurich aims to tackle the issue of document forgery by providing a convenient and reliable method to verify the authenticity of various ...

Video forgery detection encompasses a suite of computational methods aimed at verifying the authenticity and integrity of digital video content. With widespread availability of advanced editing tools, ...