The use of context in pattern recognition

Godfried T. Toussaint

Research output: Contribution to journalArticlepeer-review


The importance of contextual information, at various different levels, for the satisfactory solution of pattern recognition problems is illustrated by examples. A tutorial survey of techniques for using contextual information in pattern recognition is presented. Emphasis is placed on the problems of image classification and text recognition, where the text is in the form of machine and handprinted characters, cursive script, and speech. The related problems of scene analysis, natural language understanding, and error-correcting compilers are only lightly touched upon.

Original languageEnglish (US)
Pages (from-to)189-204
Number of pages16
JournalPattern Recognition
Issue number3
StatePublished - 1978


  • Character recognition
  • Context Artificial intelligence
  • Error correction
  • Image classification
  • Natural language understanding
  • Pattern recognition
  • Scene analysis
  • Speech recognition
  • Spelling correction
  • Text processing

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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