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Proceedings Paper

Logical structure detection for heterogeneous document classes
Author(s): Leon Todoran; Marco Aiello; Christof Monz; Marcel Worring
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Paper Abstract

We present a fully implemented system based on generic document knowledge for detecting the logical structure of documents for which only general layout information is assumed. In particular, we focus on detecting the reading order. Our system integrates components based on computer vision, artificial intelligence, and natural language processing techniques. The prominent feature of our framework is its ability to handle documents from heterogeneous collections. The system has been evaluated on a standard collection of documents to measure the quality of the reading order detection. Experimental results for each component and the system as a whole are presented and discussed in detail. The performance of the system is promising, especially when considering the diversity of the document collection.

Paper Details

Date Published: 21 December 2000
PDF: 12 pages
Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); doi: 10.1117/12.410827
Show Author Affiliations
Leon Todoran, Univ. of Amsterdam (Netherlands)
Marco Aiello, Univ. of Amsterdam (Netherlands)
Christof Monz, Univ. of Amsterdam (Netherlands)
Marcel Worring, Univ. of Amsterdam (Netherlands)


Published in SPIE Proceedings Vol. 4307:
Document Recognition and Retrieval VIII
Paul B. Kantor; Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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