@techreport{b7c72798cc9a4f4681cf0bdc3c71d15d,
title = "VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset",
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 = "Computer Science - Computer Vision and Pattern Recognition",
author = "{Kurar Barakat}, Berat and Rafi Cohen and Irina Rabaev and Jihad El-Sana",
year = "2021",
language = "אנגלית",
series = "arXiv PrePrint,",
edition = "arXiv:2101.07542 [cs.CV]",
type = "WorkingPaper",
}