Classifying handwritten math and text symbols using spatial syntactic rules, semantec connections, and ink-related information of strokes forming the symbols
US12223703B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 27, 2021 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Nov 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/373
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention relates to a method implemented by a computing device for processing math and text in handwriting, comprising: identifying symbols by performing handwriting recognition on a plurality of strokes; classifying, as a first classification, first symbols as either a text symbol candidate or a math symbol candidate with a confidence score reaching a first threshold; classifying, as a second classification, second symbols other than first symbols as either a text symbol candidate or a math symbol candidate with a respective confidence score by applying predefined spatial syntactic rules; updating or confirming, as a third classification, a result of the second classification by establishing semantic connections between symbols and comparing the semantic connections with the result of the second classification; and recognising each symbol as either text or math based on a result of said third classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.