Text recognition for a neural network
US11710304B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 23, 2022 |
| Grant date | Jul 25, 2023 |
| Priority date | — |
| Expiry date | Aug 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/414
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Image data having text associated with a plurality of text-field types is received, the image data including target image data and context image data. The target image data including target text associated with a text-field type. The context image data providing a context for the target image data. A trained neural network that is constrained to a set of characters for the text-field type is applied to the image data. The trained neural network identifies the target text of the text-field type using a vector embedding that is based on learned patterns for recognizing the context provided by the context image data. One or more predicted characters are provided for the target text of the text-field type in response to identifying the target text using the trained neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.