Image data extraction using neural networks
US10650230B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 13, 2018 |
| Grant date | May 12, 2020 |
| Priority date | — |
| Expiry date | Nov 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 from images using neural networks. In one embodiment, an image is fit to a predetermined bounding window. The image is then processed with a convolutional neural network to produce a three dimensional data cube. Slices of the cube are processed by an encoder RNN, and the results concatenated. The concatenated results are processed by an attention layer with input from a downstream decoder RNN. The attention layer output is provided to the decoder RNN to generate a probability array where values in the probability array correspond to particular characters in a character set. The maximum value is selected, and translated into an output character. In one embodiment, an amount may be extracted from an image of a receipt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.