Label and field identification without optical character recognition (OCR)
US10621727B1 · kind B1 · utility
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20Claims
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Key dates
| Filing date | Apr 24, 2018 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | May 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using computer-vision feature-detection methods. The features extracted from an image segment can be included in an input instance for a machine-learning model. The machine-learning model can assign a classification to the input instance. The classification can associate the input instance with a field type or a label type.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.