PDF文档中的脚注识别研究

Footnote Identification within a PDF Document

针对PDF文档的脚注识别问题,提出一种自动识别脚注及其引用,并建立它们之间匹配关系的方法。首先针对PDF文档提取脚注的一系列特征,包括页面布局、字体信息、语义信息等,然后基于文档部件风格一致性,利用聚类技术,处理在不同文档中相异但在同一文档中相似的特征,从而使得识别过程能够适应不同文档类型。此外,利用脚注与引用的匹配结果为识别过程提供反馈,进一步提高了识别准确性。在真实文档测试集上的实验结果表明,所提方法对于PDF文档的脚注识别取得较高的准确率和召回率。

A robust method of identifying and linking footnote and its reference in the text is proposed to solve the footnote recognition problem. Novel features of the footnote, including page layout, font information, lexieal and linguistic features, are utilized for the task. Clustering is adopted to handle the features which vary in different kinds of documents but stable within one document so that the process of identification is adaptive with document types. In addition, this method leverages results from the matching process to provide feedback to the identification process and further improves the algorithm accuracy. The primary experiments in real document sets show that the proposed method is promising to identify footnote in a PDF document.