Systems and methods for adaptive handwriting recognition
US7460712B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2007 |
| Grant date | Dec 2, 2008 |
| Priority date | — |
| Expiry date | Feb 7, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/1918
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention utilizes generic and user-specific features of handwriting samples to provide adaptive handwriting recognition with a minimum level of user-specific enrollment data. By allowing generic and user-specific classifiers to facilitate in a recognition process, the features of a specific user's handwriting can be exploited to quickly ascertain characteristics of handwriting characters not yet entered by the user. Thus, new characters can be recognized without requiring a user to first enter that character as enrollment or “training” data. In one instance of the present invention, processing of generic features is accomplished by a generic classifier trained on multiple users. In another instance of the present invention, a user-specific classifier is employed to modify a generic classifier's classification as required to provide user-specific handwriting recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.