Distinguishing text from non-text in digital ink
US7496232B2 · kind B2 · utility
6Cited by
8References
22Claims
0Family size
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Key dates
| Filing date | Jun 23, 2004 |
| Grant date | Feb 24, 2009 |
| Priority date | — |
| Expiry date | Sep 19, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/413
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A discriminative machine learning system for labels text and non-text strokes in digital ink. The learning system considers stroke features and the context of the strokes, such as temporal information about one or more strokes, in a probabilistic framework. The learning system can also consider gap features within the probabilistic framework to label associated strokes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.