Machine learning-based inference of granular font properties
US11610138B2 · kind B2 · utility
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23Claims
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Key dates
| Filing date | Apr 22, 2020 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | May 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.
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