Currently, most multimedia users choose to purchase items through e-commerce. Nevertheless, one of the main concerns of online shopping is the possibility of obtaining counterfeit products. Therefore, it is crucial to monitor the authenticity of the product, thus adopting an automatic mechanism to validate the similarity between the purchased item and the delivered one. To overcome this issue, we propose a Siamese Network model for detecting forged items. Preliminary experimentation on a publicly available dataset proves the effectiveness of our solution.
