Multiply oriented and curved handwritten text line dataset (VML-MOC)
Text line segmentation of multiply oriented and curved handwritten text lines
To the best of our knowledge, VML-MOC dataset is the first publicly available dataset that introduces the problem of segmenting multiply oriented and curved handwritten text lines.
Experiments made  have shown that ordinary text line segmentation methods are not successful on VML-MOC dataset, and text line segmentation methods without horizontal/straight line assumption has to be developed.
 F. Simistira, M. Bouillon, M. Seuret, M. W¨ursch, M. Alberti, R. Ingold, and M. Liwicki Icdar2017 competition on layout analysis for challenging medieval manuscripts in 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1. IEEE, 2017, pp. 1361–1370.
 B.Kurar, Rafi Cohen, I. Rabaev, and J. El-Sana VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset. In the 3rd International workshop on Arabic and derived Script Analysis and Recognition (ASAR), pp. 13 - 18, 2019. (PDF)
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