Multiple channels of rasterized content for page decomposition using machine learning

A system configured to identify structural elements of a document, the system comprising:

• at least one processor;
• and
• a storage medium operatively coupled to the at least one processor and configured to store instructions that when executed by the at least one processor cause the at least one processor to perform operations comprising
• generating a first channel of rasterized content by rasterizing a full page of the document,
• generating at least one of
• a second channel of rasterized content from the page of the document by rasterizing text structures from the page of the document,
• a third channel of rasterized content from the page of the document by rasterizing graphic structures from the page of the document, or
• a fourth channel of rasterized content from the page of the document by rasterizing image structures from the page of the document,
• inputting the first channel of rasterized content and one or more of the second, third and fourth channels of rasterized content into a machine learning (ML) model, and
• determining location and classification for each of a plurality of structural elements on the page of the document using the ML model based at least on the first channel of rasterized content and the one or more additional channels of rasterized content.

A computer program product including one or more non-transitory machine-readable media having instructions encoded thereon that when executed by at least one processor causes a process for identifying structural elements of a document to be carried out, the process comprising:

• generating a first channel of rasterized content by rasterizing a full page of the document;
• generating one or more additional channels of rasterized content from the page of the document by rasterizing one or more corresponding content types from the page of the document, wherein each of the one or more additional channels includes a specific type of content that is different from each of the other one or more additional channels;
• inputting the first channel of rasterized content and the one or more additional channels of rasterized content into a machine learning (ML) model;
• and
• determining location and classification for each of a plurality of structural elements on the page of the document using the ML model based at least on the first channel of rasterized content and the one or more additional channels of rasterized content.