Document entity extraction

Abstract

An end-to-end solution to create document templates and perform document entity extraction from a query document based on a subset (e.g., one/few) representative document templates. Certain embodiments employ a RANSAC algorithm in a new way for document entity extraction, e.g., using a combination of text-embedding and RANSAC to find the nearest neighbor from a document gallery. These embodiments use OCR features in the RANSAC application as opposed to the use of vision descriptors in document classification (e.g., treating OCR as the noise for the classification). In addition, the innovations of OCR usage include filtering out the unique OCR words between the document templates and query documents during RANSAC to increase the accuracy and efficiency, and filtering out command keywords in the extracted OCR text between a document template and a filled query document.

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