OBJECT IDENTIFICATION METHOD, SYSTEM AND DEVICE, AND STORAGE MEDIUM

The application provides an item authentication method, system, device and storage medium. The method comprises: acquiring a plurality of images taken on an item to be authenticated, each of the images contains at least one target authentication point; acquiring a single-point score corresponding to each of a plurality of target authentication points through identifying the plurality of images by a plurality of trained convolutional neural network models respectively, each of the trained convolutional neural network models is corresponding to the at least one target authentication point; obtaining a total score through performing a weighted summation process on single-point scores of the plurality of target authentication points according to weights obtained from a testing of a trained training set; and authenticating the authenticity of the item according to the single-point scores or/and the total score. The problem that counterfeit goods are not be quickly authenticated can be solved effectively through identifying target authentication points used to describing the item in the images by convolutional neural networks, constructing an assessment mechanism, and determining the authenticity of the item through assessing identification results.