Counterfeit Coins Can Be Detected More Easily Thanks To A Novel Approach

Concordia researchers at the Centre for Pattern Recognition and Machine Intelligence (CENPARMI) have developed a framework that uses image-mining techniques and machine learning algorithms to identify flaws in counterfeit coins. This technology can help safeguard economies and resources from the ongoing threat of counterfeit coins.