Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning

  • Jian Liang
  • David Doermann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

Abstract

Logical structure analysis of document images is an important problem in document image understanding. In this paper, we propose a graph matching approach to label logical components on a document page. Our system is able to learn a model for a document class, use this model to label document images through graph matching, and adaptively improve the model with error feed back. We tested our method on journal/proceeding article title pages. The experimental results show promising accuracy, and confirm the ability of adaptive learning.

Keywords

Document Image Optical Character Recognition Graph Match Font Size Average Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jian Liang
    • 1
  • David Doermann
    • 1
  1. 1.Institute for Advanced Computer StudiesUniversity of Maryland at College ParkUSA

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