Parameter-independent geometric document layout analysis

Dae Seok Ryu, Sun Mee Kang, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


We propose a new method independent of parameters for segmenting the document images into maximal homogeneous regions and identifying them as texts, images, tables and lines. A pyramidal quadtree structure is constructed for multiscale analysis and top-down approach, and a periodicity measure is suggested to find a periodical attribute of text regions. To obtain robust page segmentation results, a confirmation procedure using texture analysis is applied to only ambiguous regions. Experimental results with the document database from the University of Washington show that the proposed method works better than the previous ones.

Original languageEnglish
Pages (from-to)397-400
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Issue number4
Publication statusPublished - 2000

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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