Near-Wordless Document Structure Classification

In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR '95), pp. 462 - 465, Montréal, August 1995.


Abstract
Automatic derivation of logical document structure from generic layout would enable a multiplicity of electronic document manipulation tools of a type that is becoming crucial to users who wish to browse the internet. This problem can be divided into segmentation (dividing the text into a hierarchy of pieces) and classification (categorizing these pieces as particular logical structures.) This paper proposes an approach to the classification of logical document structures, according to their distance from prototypes that are primarily geometric. The prototypes consider linguistic information minimally, thus relying minimally on the accuracy of OCR and decreasing language-dependence. Different classes of logical structures and the differences in the requisite information for classifying them are presented. A prototype format is proposed, existing prototypes and a distance measurement are described, and performance results are provided.


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