XML data representation in document image analysis

被引：0
|
作者：
Belaid, Abdel [1 ]
Falk, Ingrid [2 ]
Rangoni, Yves [1 ]
机构：
[1] Univ Nancy 2, LORIA, Vandoeuvre Les Nancy, France
[2] CNRS, ATILF, Nancy, France
来源：
ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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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收藏
页码：78 / +
页数：2
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