Method and apparatus for on-line handwriting recognition based on feature vectors that use aggregated observations derived from time-sequential frames
US6084985A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Oct 3, 1997 |
| Grant date | Jul 4, 2000 |
| Priority date | — |
| Expiry date | Oct 3, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/347
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for on-line handwriting recognition is based on a hidden Markov model and implies the following steps: sensing real-time at least an instantaneous write position of the handwriting, deriving from the handwriting a time-conforming string of segments each associated to a handwriting feature vector, matching the time-conforming string to various example strings from a data base pertaining to the handwriting, and selecting from the example strings a best-matching recognition string through hidden-Markov processing, or rejecting the handwriting as unrecognized. In particular, the feature vectors are based on local observations derived from a single segment, as well as on compacted observations derived from time-sequential segments.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.