利用连通组件树提取古代地图内容

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Pub Date : 2017-11-09 DOI:10.1109/ICDAR.2017.249

Jordan Drapeau, T. Géraud, Mickaël Coustaty, J. Chazalon, J. Burie, V. Eglin, S. Bres

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引用次数: 3

摘要

古代地图是一种历史文化遗产，被广泛认为是一种非常重要的信息来源，但利用这些地图是复杂的。在这个项目中，我们考虑了1902年至1910年间建立的法国语言地图集(ALF)。这一地图遗产为方言研究提供了第一手资料。本文将重点研究内容的分层分离，以便对这些古代语言地图集中的数据进行提取、分析、可视化和传播。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extraction of Ancient Map Contents Using Trees of Connected Components

Ancient maps are an historical and cultural heritage widely recognized as a very important source of information, but exploiting such maps is complicated. In this project, we consider the Linguistic Atlas of France (ALF), built between 1902 and 1910. This cartographical heritage produces firstrate data for dialectological researches. In this paper, we focus on the separation of the content in layers for facilitating the extraction, the analysis, the visualization and the diffusion of the data contained in these ancient linguistic atlases.

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2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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