As dispensaries handle high cash volumes with limited banking access, counterfeit exposure is rising, and automated authentication is becoming an operational necessity. Automatic counterfeit detection ...

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 ...