Document processing with Bayesian network and agent-based programming

  • Authors:
  • András Barta;István Vajk

  • Affiliations:
  • Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary;Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary

  • Venue:
  • SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
  • Year:
  • 2005

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Abstract

This paper presents a document processing algorithm that is based on a Bayes network and a recursive orthogonal linear transformation. The system is extended to include agent-based programming in order to simplify the control procedures. The research also investigates the teaching procedure of the object library. The method is demonstrated on a document image processing problem, extracting the components of a circuit diagram.