Neural network-based optical character recognition
US12020152B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 9, 2021 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Oct 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural network-based optical character recognition. An embodiment of the system may generate a set of bounding boxes based on reshaped image portions that correspond to image data of a source image. The system may merge any intersecting bounding boxes into a merged bounding box to generate a set of merged bounding boxes indicative of image data portions that likely portray one or more words. Each merged bounding box may be fed by the system into a neural network to identify one or more words of the source image represented in the respective merged bounding box. The one or more identified words may be displayed by the system according to a standardized font and a confidence score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.