Patent · US Active

Handwritten diagram recognition using deep learning models

US10956727B1 · kind B1 · utility

1Cited by

0References

20Claims

0Family size

Assignee

SAP SE · DE

Inventors

Bernhard Schaefer · Groß-Gerau, DE
Andreas Gerber · Pirmasens, DE

Key dates

Filing date	Sep 11, 2019
Grant date	Mar 23, 2021
Priority date	—
Expiry date	Sep 11, 2039

Classification

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

Abstract

Systems, methods, and devices are described herein for handwritten diagram recognition using machine learning. A machine learning component receives a digitally encoded image having a handwritten diagram. The machine learning component localizes and classifies a plurality of objects within the handwritten diagram. A structure recognition component identifies connections between each symbol of the plurality of objects based on content of the respective object. A handwriting recognition component interprets one or more alphanumeric text strings within a portion of the plurality of objects. A digital structured model of the digitally encoded image is automatically generated, without human intervention. The digital structured model has the identified connections among the plurality of objects and is in a computer-readable editable format.

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