Patent · US Active

Hidden markov model based handwriting/calligraphy generation

US7983478B2 · kind B2 · utility

284Cited by

13References

19Claims

0Family size

Assignee

Microsoft Corporation · US

Inventors

Peng Liu · Yorktown Heights, US
Yi-Jian Wu · Beijing, CN
Lei Ma · Beijing, CN
Frank Kao-Ping Soong · Beijing, CN

Key dates

Filing date	Aug 10, 2007
Grant date	Jul 19, 2011
Priority date	—
Expiry date	Feb 15, 2030

Classification

Technology area (CPC G)Physics
CPC primaryG06V30/287
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An exemplary method for handwritten character generation includes receiving one or more characters and, for the one or more received characters, generating handwritten characters using Hidden Markov Models trained for generating handwritten characters. In such a method the trained Hidden Markov Models can be adapted using a technique such as a maximum a posterior technique, a maximum likelihood linear regression technique or an Eigen-space technique.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.