XML data representation in Document Image Analysis

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

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2 TALARIS - Natural Language Processing: representation, inference and semantics

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.

Mots clés: XML; TEI; ALTO; METS; Document Image Analysis and Recognition; XSLT; Reverse Engineering; Document Class Model

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement du texte et du document

Abdel Belaid, Ingrid Falk, Yves Rangoni. XML data representation in Document Image Analysis. 9th International Conference on Document Analysis and Recognition - ICDAR'07, IAPR, Sep 2007, Curitiba, Brazil. pp.78-82. ⟨inria-00176680⟩