Method of digitizing and extracting meaning from graphic objects
US10726252B2 · kind B2 · utility
4Cited by
6References
20Claims
0Family size
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Key dates
| Filing date | May 17, 2018 |
| Grant date | Jul 28, 2020 |
| Priority date | — |
| Expiry date | May 17, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Using a convolutional neural network, a method for digitizing and extracting meaning from graphic objects such as bar and pie charts, decomposes a chart into its sub-parts (pie and slices or bars, axes and legends) with significant tolerance to the wide range of variations in shape and relative position of pies, bars, axes and legends. A linear regression calibration allows properly reading values even when there are many OCR failures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.