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Automatic acquisition of layout knowledge for understanding business cards

机译:自动获取布局知识以了解名片

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Document knowledge plays a very important role in many document image understanding methods. In these methods, the document knowledge is utilized to classify/extract individual item data interpretatively from paper-based sheets as a kind of document model: these days, this knowledge is specified into the document image understanding system in advance. In this paper, we propose an experimental method to acquire the layout knowledge automatically from sample document images. In particular, we focus on the acquisition of the layout of business cards. Our idea is to generate the layout knowledge of business cards from a predefined logical structure, which is used as a kind of meta-knowledge to interpretatively generate the layout knowledge of given business cards.
机译:文档知识在许多文档图像理解方法中扮演着非常重要的角色。在这些方法中,作为一种文档模型,文档知识用于解释性地从基于纸张的纸张中分类/提取单个项目数据:如今,这种知识已预先指定到文档图像理解系统中。在本文中,我们提出了一种从样本文档图像中自动获取布局知识的实验方法。特别是,我们专注于名片布局的获取。我们的想法是从预定义的逻辑结构中生成名片的布局知识,该逻辑结构用作一种元知识来解释性地生成给定名片的布局知识。

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