Indexing Historical Documents by Word Shape Signatures
Indexing Historical Documents by Word Shape Signatures
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按字形签名索引历史文档
DOI：
10.1109/icdar.2007.143
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Gemma Sánchez
中科院分区：
文献类型：
--
作者：
J. Lladós;Gemma Sánchez
本文提出了一种用于档案图像文档检索的词识别方法。索引由关键字图像构建。定位策略是在按形状索引的基础上制定的。众所周知的形状上下文描述符用于从骨架点计算单词图像签名。然后，从阈值化的形状上下文中提取码字。它是基于位向量的更简单、更紧凑的表示。将文档图像粗略地分割成单词，并构造查找表。每个单词子图像被视为一个bin。关键字图像被发现到文件的投票策略，包括索引到查找表的码字，并投票到相应的箱子。该方法是说明了一个真实的应用场景，包括从西班牙内战的数字档案的文件。
In this paper a word spotting approach to index archival image documents is presented. Indices are constructed from keyword images. The spotting strategy is formulated on an indexing-by-shape basis. The well known shape context descriptor is used to compute word image signatures from the skeleton points. Afterwards, codewords are extracted from thresholded shape contexts. It is a simpler and more compact representation based on bit vectors. Document images are roughly segmented into words and a lookup table is constructed. Each word subimage is taken as a bin. Keyword images are spotted into documents by a voting strategy consisting in indexing into the lookup table by codewords, and voting into the corresponding bins. The approach is illustrated by a real application scenario consisting of documents from a digital archive of the Spanish Civil War.