Patent · US Active

Machine learning data extraction algorithms

US10824811B2 · kind B2 · utility

0Cited by

4References

20Claims

0Family size

Assignee

SAP SE · DE

Inventors

Everaldo Aguiar · Bellevue, US
Jesper Lind · Bellevue, US

Key dates

Filing date	Oct 10, 2018
Grant date	Nov 3, 2020
Priority date	—
Expiry date	Dec 3, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06V30/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Embodiments of the present disclosure pertain to extracting data corresponding to particular data types using machine learning algorithms. In one embodiment, a method includes receiving an image in a backend system, sending the image to an optical character recognition (OCR) component, and in accordance therewith, receiving a plurality of characters recognized in the image. The character set is matched against known values to generate candidate character strings. The character set is processed by one or more machine learning algorithms to produce features. For each candidate character string, the features are then processed by a random forest model to determine a final character string.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.