Image text localization
US10572760B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2017 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Jan 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for analyzing text in an image is disclosed. A text localization and classification system accesses an annotated image comprising a plurality of text location identifiers for a given item of text. A neural network predicts the location of the given item of text using at least a first location identifier and a second location identifier. Optionally, the first location identifier comprises a first shape and the second location identifier comprises a second shape. A first loss is generated using a first loss function, the first loss corresponding to the predicated location using the first location identifier. A second loss is generated using a second loss function, the second loss corresponding to the predicated location using the second location identifier. The neural network is enhanced with backpropagation using the first loss and the second loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.