Wael Abd-Almageed

Segmentation of Handwritten Textlines in Presence of Touching Components

TitleSegmentation of Handwritten Textlines in Presence of Touching Components
Publication TypeConference Paper
Year of Publication2011
AuthorsJ. Kumar, L. Kang, D. Doermann, and W. Abd-Almageed
Conference NameInternational Conference on Document Analysis and Recognition
Conference LocationWashington, DC, USA
Abstract

This paper presents an approach to text line extraction in handwritten document images which combines local and global techniques. We propose a graph-based technique to detect touching and proximity errors that are common with handwritten text lines. In a refinement step, we use Expectation-Maximization (EM) to iteratively split the error segments to obtain correct text-lines. We show improvement in accuracies using our correction method on datasets of Arabic document images. Results on a set of artificially generated proximity images show that the method is effective for handling touching errors in handwritten document images.

URLhttp://dx.doi.org/10.1109/ICDAR.2011.31
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