Ground-Truth and Performance Evaluation for Page Layout Analysis of Born-Digital Documents

Abstract

In this paper, a new dataset is proposed for page layout analysis of born-digital documents. By extracting uniformly the document contents, an XML based data format is designed in terms of raw data and structure data. Utilizing a self-developed ground-truthing tool, a public dataset is constructed from diverse styles of document resources. With consideration of physical segmentation and logical labeling, automatic performance evaluation methods are adjusted to cope with different scenarios. The applications of the proposed dataset have shown that it is suitable for evaluating various layout analysis tasks.