Deep-learning-based system and process for image recognition
US11227176B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 12, 2020 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Jul 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/33
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.