Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

Stefan Klut, Rutger van Koert, R. Sluijter
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Abstract

We present novel software to process scans of historical documents to extract their layout information. We do this using a ResNet backbone with a feature pyramid head. We extract region information directly into PageXML. For baseline extraction, we use a two stage processing approach. The software has been applied successfully to several projects. The results show the feasibility to automatically label text lines and regions in historical documents.
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Laypa:一个将分割网络应用于历史文献的新框架
我们提出了一种新的软件来处理历史文档的扫描,以提取其布局信息。我们使用带有特征金字塔头的ResNet主干来实现这一点。我们将区域信息直接提取到PageXML中。对于基线提取,我们使用两阶段处理方法。该软件已成功应用于多个工程中。结果表明,在历史文献中实现文本行和区域自动标注是可行的。
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