Classification and authentication of identification documents using a convolutional neural network

A method to determine that a physical identification document is authentic, comprising:

• receiving, by an authentication manager, an image of a physical identification document to be authenticated;
• extracting, by the authentication manager, a set of characteristics of the physical identification document from the image;
• determining, by the authentication manager, a class of the physical identification document based on the set of characteristics of the physical identification document;
• applying, by the authentication manager and based on the class of the physical identification document, a convolution kernel to generate pixels of a feature map for a channel of the image by convolving the channel of the image with the convolution kernel;
• determining, by the authentication manager, a score based on pixels of the feature map;
• and
• providing, by the authentication manager, an indication that the physical identification document is authentic based on the score.