Systems and methods for image based content capture and extraction utilizing deep learning neural network and bounding box detection training techniques

A method, comprising:

• receiving or obtaining, by an image recognition system executing on a processor, a plurality of document components representing one or more feature types, wherein each of the plurality of document components corresponds to a piece of information;
• selecting, by the image recognition system, one or more subsets of the plurality of document components;
• for each of the subsets of the plurality of document components thus selected, performing, by the image recognition system:
• dynamically generating, from the subset of document components, one or more simulated images of a simulated document;
• providing the one or more simulated document images and pieces of information corresponding to the document components of the subset as input to a convolutional neural network;
• and training the convolutional neural network to recognize the feature types using the pieces of information corresponding to the document components of the subset as expected outputs of processing the one or more simulated document images dynamically generated from the simulated document which is dynamically generated from the subset of document components.

A computer program product comprising a non-transitory computer-readable medium storing instructions translatable by one or more processors to perform:

• receiving or obtaining a plurality of document components representing one or more feature types, wherein each of the plurality of document components corresponds to a piece of information;
• selecting one or more subsets of the plurality of document components;
• for each of the subsets of the plurality of document components thus selected, performing:
• dynamically generating, from the subset of document components, one or more images of a simulated document;
• providing the one or more simulated document images and pieces of information corresponding to the document components of the subset as input to a convolutional neural network;
• and
• training the convolutional neural network to recognize the feature types using the pieces of information corresponding to the document components of the subset as expected outputs of processing the one or more simulated document images dynamically generated from the simulated document which is dynamically generated from the subset of document components.