TY  - CONF
AU  - Francisco Cruz
AU  - Oriol Ramos Terrades
A2  - ICDAR
PY  - 2013//
TI  - Handwritten Line Detection via an EM Algorithm
BT  - 12th International Conference on Document Analysis and Recognition
SP  - 718
EP  - 722
N2  - 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.
SN  - 1520-5363
L1  - http://refbase.cvc.uab.es/files/CrT2013.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2013.147
N1  - DAG
ID  - Francisco Cruz2013
ER  -