XML data representation in Document Image Analysis

Abdel Belaid; Ingrid Falk; Yves Rangoni

inria-00176680, version 1

XML data representation in Document Image Analysis

Abdel Belaid^a^, 1, Ingrid Falk ², Yves Rangoni ()^a^, 1

9th International Conference on Document Analysis and Recognition - ICDAR'07 (2007) 78-82

Abstract: 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.

a – Université Nancy II
1: READ (LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
2: TALARIS (INRIA Nancy - Grand Est / LORIA)
CNRS : UMR7503 – INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00176680, version 1
http://hal.inria.fr/inria-00176680
oai:hal.inria.fr:inria-00176680
From: Yves Rangoni <>
Submitted on: Thursday, 4 October 2007 13:25:51
Updated on: Tuesday, 31 May 2011 10:31:29

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