Logical structure detection for heterogeneous document classes

L. Todoran*, M. Aiello, C. Monz, M. Worring

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)99-110
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2001
Externally publishedYes


  • Document analysis
  • Logical structure detection
  • Natural language processing
  • Reading order detection
  • Spatial reasoning


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