@conference {13642, title = {Segmentation of Handwritten Textlines in Presence of Touching Components}, booktitle = {Intl. Conf. on Document Analysis and Recognition (ICDAR 11)}, year = {2011}, month = {2011///}, pages = {109 - 113}, abstract = {This paper presents an approach to textline 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.}, author = {Kumar,Jayant and Kang,Le and David Doermann and Abd-Almageed, Wael} }