Systems and methods for intelligent zonal recognition and automated context mapping
AssigneeOpen Text Holdings, Inc.
InventorsSatish Chandra Paled, Darshil Ajay Parekh, Shabhari Nath Gampa, Sai Krishna Bhargav Veldi
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Abstract
Embodiments of document processing systems and methods for intelligent zonal recognition and context mapping are disclosed. These document processing systems and methods may utilize image processing and heuristic techniques to determine key zones from a minimal set of example documents of a document type and map those key zones to a context definition.
Claims21
A system for mapping zones in documents with a context, comprising:
- a processor;
- a non-transitory computer-readable medium comprising instructions for:
- receiving a plurality of documents;
- identifying common zones in the plurality of documents, the common zones representative of common keys in the plurality of documents;
- identifying values for each common key in each of the plurality of documents;
- mapping the values for each common key to a set of context fields.
A method for mapping zones in documents with a context, comprising:
- receiving a plurality of documents;
- identifying common zones in the plurality of documents, the common zones representative of common keys in the plurality of documents;
- identifying values for each common key in each of the plurality of documents;
- mapping the values for each common key to a set of context fields.
A non-transitory computer readable medium comprising instructions for mapping zones in documents with a context by:
- receiving a plurality of documents;
- identifying common zones in the plurality of documents, the common zones representative of common keys in the plurality of documents;
- identifying values for each common key in each of the plurality of documents;
- mapping the values for each common key to a set of context fields.
Dependencies are inferred from the claim text.