VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
Computer Vision and Pattern Recognition
2021-01-20 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2101.07542,
title = {VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset},
author = {Berat Kurar Barakat and Rafi Cohen and Irina Rabaev and Jihad El-Sana},
journal= {arXiv preprint arXiv:2101.07542},
year = {2021}
}