System and method for verifying authenticity of an anti-counterfeiting element, and method for building a machine learning model used to verify authenticity of an anti-counterfeiting element

A system for verifying authenticity of a to-be-examined (TBE) anti-counterfeiting element, said system comprising:

• a model building module, including
• a pre-processing sub-module configured to obtain a plurality of original images of a same reference anti-counterfeiting element, and configured to, with respect to each of the original images, make different adjustments to the original image to form a plurality of true-element-images, respectively, wherein the plurality of true-element images formed with respect to a same one of the original images constitute a set, and
• a training sub-module connected to said pre-processing sub-module, and configured to train a deep neural network based on plural sets of the true-element images to build a machine learning model that is related to the reference anti-counterfeiting element, the plural sets of true-element images corresponding respectively to the original images;
• and
• a verifying module configured to obtain a TBE image of the TBE anti-counterfeiting element and to input the TBE image into said machine learning model to determine whether the TBE anti-counterfeiting element in the TBE image is authentic or unauthentic.