Data extraction using neural networks
US10878269B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 19, 2018 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Sep 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure pertain to extracting data corresponding to particular data types using neural networks. In one embodiment, a method includes receiving an image in a backend system, sending the image to an optical character recognition (OCR) component, and in accordance therewith, receiving a plurality of characters recognized in the image, sequentially processing the characters with a recurrent neural network to produce a plurality of outputs for each character, sequentially processing the plurality of outputs for each character with a masking neural network layer, and in accordance therewith, generating a first plurality of probabilities, wherein each probability corresponds to a particular character in the plurality of characters, selecting a second plurality of adjacent probabilities from the first plurality of probabilities that are above a threshold, and translating the second plurality of adjacent probabilities into output characters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.