Structure in On-line Documents

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Venue:
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Year:
2001

Citing 0
Cited 17

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Abstract

Abstract: We present a hierarchical approach for extracting homogeneous regions in on-line documents. The problem of identifying and processing ruled and unruled tables, text and drawings is addressed. The on-line document is first segmented into regions with only text strokes 1 and regions with both text and non-text strokes. The text region is further classified as unruled table or plain text. Stroke clustering is used to segment the non-text regions. Each non-text segment is then classified as drawing, ruled table or underlined keyword using stroke properties. The individual regions are processed and the results are assembled to identify the structure of the on-line document.