Apparatuses, methods, and systems for 3-channel dynamic contextual script recognition using neural network image analytics and 4-tuple machine learning with enhanced templates and context data

An apparatus, comprising:

• a memory;
• and
• a processor operatively coupled to the memory,
• the processor configured to execute a first program to generate a plurality of relevancy masks to remove a visual structure of a plurality of templates from a visual structure of a plurality of documents;
• the processor configured to generate a plurality of multi-tuple data, each multi-tuple data from the plurality of multi-tuple data including a relevancy mask and at least a document, a template, or a non-native text;
• and
• the processor configured to execute a second program to generate the non-native text for each multi-tuple data from the plurality of multi-tuple data.

A non-transitory processor-readable medium storing code representing instructions to be executed by a processor, the code comprising code to cause the processor to:

• receive a plurality of documents associated with a plurality of templates and a plurality of non-native texts;
• generate a plurality of relevancy masks based on the plurality of documents or the plurality of templates;
• generate a plurality of multichannel field images including the plurality of relevancy masks and at least one of the plurality of documents, the plurality of non-native texts, or the plurality of templates;
• and
• execute an optical character recognition (OCR) model to generate the plurality of non-native texts from the plurality of multichannel field images.