A Contextual Postprocessing Expert System for English Sentence Reading Machines.

Abstract

Knowledge-based programming techniques are used in an expert system to reduce uncertainity for optical character recognition by combing evidence from several diverse knowledge sources cooperating in an hierarchical configuration. The postprocessor development focused on a system for generic text input that is not constrainted to a fixed vocabulary or particular subject domain. The key element to the system's effectiveness is a spell checking algorithm that is not operationally bounded by an enumerated lexicon or biased by statistical sampling. The postprocessor system is also design to interface almost any type of OCR front-end methodology. Keywords: theses; image processing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA163951

Entities

People

  • David V. Paciorkowski

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Character Recognition
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Processing
  • Databases
  • Dictionaries
  • Expert Systems
  • Image Processing
  • Information Processing
  • Language
  • Optical Character Recognition
  • Pattern Recognition
  • Processing Equipment
  • Test And Evaluation

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Systems Analysis and Design