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ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

机译:ICDAR2015识别具有复杂布局的文档的竞赛-RDCL2015

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This paper presents an objective comparative evaluation of page segmentation and region classification methods for documents with complex layouts. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2015, presenting the results of the evaluation of eight methods - four submitted, two state-of-the-art systems (one commercial and one open-source) and their two immediately previous versions. Three scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions and two evaluating both segmentation and region classification (one with emphasis on text and the other focusing only on text). The results indicate that an innovative approach has a clear advantage but there is still a considerable need to develop robust methods that deal with layout challenges, especially with the non-text content.
机译:本文对具有复杂布局的文档的页面分割和区域分类方法进行了客观的比较评估。它描述了在ICDAR2015范围内举行的竞赛(方法操作,数据集和评估方法),并介绍了八种方法的评估结果-四种提交的,两种最新系统(一种商业和一种开源) )及其两个之前的版本。本文报告了三种情况,一种情况评估了方法对区域进行精确分割的能力,另外两种情况则评估了分割和区域分类(一种情况着重于文本,另一种只着重于文本)。结果表明,创新的方法具有明显的优势,但是仍然非常需要开发强大的方法来应对布局挑战,尤其是处理非文本内容。

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