Extracting multiple documents from single image
US11972626B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 24, 2020 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Jul 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and method for document image detection, comprising: producing, using a neural network, a superpixel segmentation map of an input image; generating a superpixel binary mask by associating each superpixel of the superpixel segmentation map with a class of a predetermined set of classes; identifying one or more connected components in the superpixel binary mask; for each connected component of the superpixel binary mask, identifying a corresponding minimum bounding polygon; creating one or more image dividing lines based on the minimum bounding polygons; and defining boundaries of one or more objects of interest based on at least a subset of the image dividing lines.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.