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Document image template matching based on component block list

机译:基于组件块列表的文档图像模板匹配

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摘要

Document image matching is the key technique for document image registration and retrieval. In this paper, a new matching method based on document component block list (CBL) is proposed. A document image is firstly parsed into a number of component blocks that arc defined as non-adherent rectangular areas of substantial document contents. Then these blocks are organized as a list, on which several matching operations are defined. The template image that is most similar to the querying document image is selected as the matching result. Our method can effectively make use of the local information of each page component block and the global information of document page layout. We in- vestigate the method with large-scale document template image database. Our method manifests good matching ac- curacy and good robustness to image distortion, filled-in text, and noises.
机译:文档图像匹配是文档图像注册和检索的关键技术。提出了一种基于文档成分块列表(CBL)的匹配方法。首先将文档图像解析为许多组成块,这些组成块定义为大量文档内容的非粘附矩形区域。然后将这些块组织为一个列表,在该列表上定义了几个匹配操作。选择与查询文档图像最相似的模板图像作为匹配结果。我们的方法可以有效地利用每个页面组成块的局部信息和文档页面布局的全局信息。我们使用大型文档模板图像数据库来研究该方法。我们的方法对图像失真,填充文本和噪点表现出了良好的匹配精度和鲁棒性。

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