  This paper publishes a natural and very complicated dataset of handwritten
documents with multiply oriented and curved text lines, namely VML-MOC dataset.
These text lines were written as remarks on the page margins by different
writers over the years. They appear at different locations within the
orientations that range between 0 and 180 or as curvilinear forms. We evaluate
a multi-oriented Gaussian based method to segment these handwritten text lines
that are skewed or curved in any orientation. It achieves a mean pixel
Intersection over Union score of 80.96% on the test documents. The results are
compared with the results of a single-oriented Gaussian based text line
segmentation method.
