An efficient method for document image geometric layout analysis

Suyoung Chi, Yunkoo Chung, Dae Geun Jang, Weongeun Oh, Jaeyeon Lee, Kim Changhun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Document image analysis is necessary for optical character recognition (OCR) and also very useful for many other document image manipulations. In this paper, we propose a document image geometric layout analysis system which has less region segmentation and classification error than that of the commercial software and previous works. The proposed method segments the document image into small regions to the size of a character using fast connected components generation method, so that it prevents the different types of connected components from combining. We also propose new criterion for clustering the connected components and some new techniques to deal with noise and reduce computation time. Experiment shows classification error rate of text and picture regions is decreased.

Original languageEnglish
Title of host publicationIASTED International Conference on Computer Graphics and Imaging
EditorsM.H. Hamza, M.H. Hamza
Pages238-243
Number of pages6
Publication statusPublished - 2003
EventSixth IASTED International Conference on Computer Graphics and Imaging - Honolulu, HI, United States
Duration: 2003 Aug 132003 Aug 15

Publication series

NameIASTED International Conference on Computer Graphics and Imaging

Other

OtherSixth IASTED International Conference on Computer Graphics and Imaging
CountryUnited States
CityHonolulu, HI
Period03/8/1303/8/15

Keywords

  • Connected Component Analysis
  • Document Image Analysis
  • Optical Character Recognition(OCR)

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Chi, S., Chung, Y., Jang, D. G., Oh, W., Lee, J., & Changhun, K. (2003). An efficient method for document image geometric layout analysis. In M. H. Hamza, & M. H. Hamza (Eds.), IASTED International Conference on Computer Graphics and Imaging (pp. 238-243). (IASTED International Conference on Computer Graphics and Imaging).