Delaunay文档布局描述符

Sébastien Eskenazi, Petra Gomez-Krämer, J. Ogier
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引用次数: 8

摘要

与文档身份验证相关的安全应用程序需要文档的真实副本与原始副本之间的精确匹配。这意味着用于比较两个文档(原始文档和副本文档)的文档分析算法应该提供相同的输出。这种算法包括从分割结果中计算布局描述符,因为文档的布局是其语义内容的一部分。为此,本文提出了一种新的布局描述符,它显著提高了当前的技术水平。这个描述符的基础是使用Delaunay三角剖分文档区域的质心。这个三角剖分被看作是一个图,图的邻接矩阵构成了描述符。虽然大多数布局描述符在精确匹配方面的稳定性为0%,但我们的描述符的稳定性为74%,使用适当的匹配算法可以将其提高到100%。在960个文档图像数据库的文档检索方案中,它也实现了100%的准确性和检索。此外,这个描述符非常高效,因为它在恒定的时间内根据文档数据库的大小执行搜索,并将数据库索引的大小减少了1 / 400。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Delaunay Document Layout Descriptor
Security applications related to document authentication require an exact match between an authentic copy and the original of a document. This implies that the documents analysis algorithms that are used to compare two documents (original and copy) should provide the same output. This kind of algorithm includes the computation of layout descriptors from the segmentation result, as the layout of a document is a part of its semantic content. To this end, this paper presents a new layout descriptor that significantly improves the state of the art. The basic of this descriptor is the use of a Delaunay triangulation of the centroids of the document regions. This triangulation is seen as a graph and the adjacency matrix of the graph forms the descriptor. While most layout descriptors have a stability of 0% with regard to an exact match, our descriptor has a stability of 74% which can be brought up to 100% with the use of an appropriate matching algorithm. It also achieves 100% accuracy and retrieval in a document retrieval scheme on a database of 960 document images. Furthermore, this descriptor is extremely efficient as it performs a search in constant time with respect to the size of the document database and it reduces the size of the index of the database by a factor 400.
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