The Monk Line Segmentation (MLS) Dataset

<p>Overview</p> <p>The MLS dataset available from this page consists of 31 handwritten page scans. The dataset contains medieval, historical and contemporary manuscripts, and has the purpose of testing line-segmentation algorithms. The collection contains a wide variation of the common problems in handwriting recognition: lines with overlapping ascenders/descenders, slightly rotated scans and curved base lines.&nbsp;<br> &nbsp;</p> <p>Download</p> <p>The MLS dataset was collected from the Monk system as of Friday May 17 14:15:04 CEST 2013. It was collected by Lambert Schomaker in May 2013 at the Institution of Artificial Intelligence and Cognitive Engineering (ALICE), University of Gronigen.&nbsp;</p> <p>The tar.gz file contains the image dataset for historical manuscripts. For more details please refer to the README file in the tar.gz file. The dataset downloaded for research use only. &copy; 2013 Copyright.&nbsp;<br> &nbsp;</p> <p>@INPROCEEDINGS{Surinta:2014:ICFHR,<br> &nbsp;&nbsp;&nbsp; &nbsp;author = {O. Surinta and M. Holtkamp and M. F. Karaaba and JP. van Oosten and L. R. B. Schomaker and M. A. Wiering},<br> &nbsp;&nbsp;&nbsp; &nbsp;title = {A* Path Planning for Line Segmentation of Handwritten Documents},<br> &nbsp;&nbsp; &nbsp;booktitle = {Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on},<br> &nbsp;&nbsp;&nbsp; &nbsp;year = {2014},<br> &nbsp;&nbsp; &nbsp;month = {Sep},<br> &nbsp;&nbsp;&nbsp; &nbsp;pages = {175-180},<br> &nbsp;&nbsp;&nbsp; &nbsp;numpages = {6},<br> &nbsp;&nbsp;&nbsp; &nbsp;isbn = {978-1-4799-4335-7},<br> &nbsp;&nbsp; &nbsp;issn = {2167-6445},<br> &nbsp;&nbsp; &nbsp;publisher = {IEEE},<br> &nbsp;&nbsp;&nbsp; &nbsp;doi = {http://dx.doi.org/10.1109/ICFHR.2014.37},<br> }</p>