Automated systems and methods for identifying fields and regions of interest within a document image
US11210507B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2019 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Dec 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are configured to extract text from images (e.g., document images) utilizing a combination of optical character recognition processes and neural network-based analysis of various images to train a machine-learning object recognition model that is configured to identify text within images based on object-comparisons between known and unknown text within images. In certain embodiments, identified text within images may be utilized to identify corresponding regions-of-interest for extraction of image data encompassing a portion of an image that may be indexed based at least in part on text identified as corresponding to the particular region-of-interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.