Font recognition using text localization
US10074042B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2015 |
| Grant date | Sep 11, 2018 |
| Priority date | — |
| Expiry date | Jun 4, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.