文档图像分析中的XML数据表示

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Pub Date : 2007-09-23 DOI:10.1109/ICDAR.2007.272

A. Belaïd, Ingrid Falk, Yves Rangoni

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引用次数: 4

摘要

本文介绍了用于数字图书馆的基于xml的ALTO、TEI、METS格式，以及它们在文档图像分析和识别(DIAR)过程中的数据表示兴趣。在第一部分中，我们简要介绍了这些格式，重点介绍了它们是否适合DIAR数据的结构表示和建模。第二部分将展示如何在逆向工程过程中使用这些格式。将显示它们作为数据表示框架的实现。

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XML Data Representation in Document Image Analysis

This paper presents the XML-based formats ALTO, TEI, METS used for digital libraries and their interest for data representation in a document image analysis and recognition (DIAR) process. In the first part we briefly present these formats with focus on their adequacy for structural representation and modeling of DIAR data. The second part shows how these formats can be used in a reverse engineering process. Their implementation as a data representation framework will be shown.

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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)

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