Identifying matching fonts utilizing deep learning
US11763583B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2021 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Nov 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/293
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.