|United States Patent||7,983,478|
|Liu , et al.||July 19, 2011|
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.
|Inventors:||Liu; Peng (Beijing, CN), Wu; Yi-Jian (Beijing, CN), Ma; Lei (Beijing, CN), Soong; Frank Kao-PingK (Beijing, CN)|
|Filed:||August 10, 2007|
|Current U.S. Class:||382/161 ; 382/186; 382/187|
|Current International Class:||G06K 9/62 (20060101)|
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