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ICDAR
2009
IEEE

A Variational Bayes Method for Handwritten Text Line Segmentation

9 years 3 months ago
A Variational Bayes Method for Handwritten Text Line Segmentation
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents a new approach based on the variational Bayes (VB) framework for text line segmentation. Viewing the document image as a mixture density model, with each text line approximated by a Gaussian component, the VB method can automatically determine the number of components. We extend the VB method such that it can both eliminate and split components and control the orientation of text line lines. Experiments on Chinese handwritten documents demonstrated the effectiveness of the approach.
Fei Yin, Cheng-Lin Liu
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Fei Yin, Cheng-Lin Liu
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