Patent · US Active

Compact handwriting recognition

US8369611B2 · kind B2 · utility

0Cited by
2References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 22, 2010
Grant dateFeb 5, 2013
Priority date
Expiry dateJul 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.