Method and apparatus for recognizing handwritten characters using federated learning
US10936904B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2019 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Sep 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a method for recognizing handwritten characters in a terminal through federated learning. In the method, a first common prediction model for recognizing text from handwritten characters input from a user is applied, the handwritten characters are received from the user, feature values are extracted from an image including the handwritten characters, the feature values are input to the first common prediction mode, first text information is determined from an output of the first common prediction model, the first text information and a second text information received from the user for error correction of the first text information are cached, and the first common prediction model is learned using the image including the handwritten characters, the first text information, and the second text information. In this way, the terminal can determine the text from the handwritten characters input by the user, and can learn the first common prediction model through a feedback operation of the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.