Compact handwriting recognition
US8369611B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 22, 2010 |
| Grant date | Feb 5, 2013 |
| Priority date | — |
| Expiry date | Jul 14, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/287
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more techniques and/or systems are disclosed for constructing a compact handwriting character classifier. A precision constrained Gaussian model (PCGM) based handwriting classifier is trained by estimating parameters for the PCGM under minimum classification error (MCE) criterion, such as by using a computer-based processor. The estimated parameters of the trained PCGM classifier are compressed using split vector quantization (VQ) (e.g., and in some embodiments, scalar quantization) to compact the handwriting recognizer in computer-based memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.