VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset

• URL: http://arxiv.org/abs/2101.07542v1
• Date: Tue, 19 Jan 2021 10:10:45 GMT
• Title: VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
• Authors: Berat Kurar Barakat, Rafi Cohen, Irina Rabaev, and Jihad El-Sana
• Abstract summary: We evaluate a multi-oriented Gaussian based method to segment these handwritten text lines that are skewed or curved in any orientation. The results are compared with the results of a single-oriented Gaussian based text line segmentation method.
• Score: 0.8399688944263843
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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