Sciweavers

Share
ICDAR
2009
IEEE

Bayesian Similarity Model Estimation for Approximate Recognized Text Search

8 years 9 months ago
Bayesian Similarity Model Estimation for Approximate Recognized Text Search
Approximate text search is a basic technique to handle recognized text that contains recognition errors. This paper proposes an approximate string search for recognized text using a statistical similarity model focusing on parameter estimation. The main contribution of this paper is to propose a parameter estimation algorithm using variational Bayesian expectation maximization technique. We applied the obtained model to approximate substring detection problem and experimentally showed that the Bayesian estimation is effective.
Atsuhiro Takasu
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Atsuhiro Takasu
Comments (0)
books