Dual stage neural network pipeline systems and methods
US10262235B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2018 |
| Grant date | Apr 16, 2019 |
| Priority date | — |
| Expiry date | Feb 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/625
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of identifying and recognizing characters using a dual-stage neural network pipeline, the method including: receiving, by a computing device, image data; providing the image data to a first convolutional layer of a convolutional neural network (CNN); applying, using the CNN, pattern recognition to the image data to identify a region of the image data containing text; providing sub-image data comprising the identified region of the image data to a convolutional recurrent neural network (CRNN); and recognizing, using the CRNN, the characters within the sub-image data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.