%0 Conference Proceedings
%T Handwritten Line Detection via an EM Algorithm
%A Francisco Cruz
%A Oriol Ramos Terrades
%B 12th International Conference on Document Analysis and Recognition
%D 2013
%@ 1520-5363
%F Francisco Cruz2013
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2329), last updated on Thu, 10 Nov 2016 12:09:32 +0100
%X In this paper we present a handwritten line segmentation method devised to work on documents composed of several paragraphs with multiple line orientations. The method is based on a variation of the EM algorithm for the estimation of a set of regression lines between the connected components that compose the image. We evaluated our method on the ICDAR2009 handwriting segmentation contest dataset with promising results that overcome most of the presented methods. In addition, we prove the usability of the presented method by performing line segmentation on the George Washington database obtaining encouraging results.
%U http://refbase.cvc.uab.es/files/CrT2013.pdf
%U http://dx.doi.org/10.1109/ICDAR.2013.147
%P 718-722