Leon Todoran, Marco Aiello, Christof Monz, and Marcel Worring

In: Proceedings of Document Recognition and Retrieval VIII, SPIE, 2001, pp. 99-110

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.

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@InProceedings{todo:01logi,
  author = 	 {Todoran, L. and Aiello, M. and Monz, C. 
                  and Worring, M.},
  title = 	 {Logical Structure Detection for Heterogeneous 
                  Document Classes},
  booktitle = 	 {Proceedings of Document Recognition and 
                  Retrieval {VIII}},
  pages =	 {99--110},
  year =	 2001,
  publisher =	 {SPIE}
}