Combining online and offline recognizers in a handwriting recognition system
US8160362B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2011 |
| Grant date | Apr 17, 2012 |
| Priority date | — |
| Expiry date | Apr 19, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/29
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.