Computer recognition of handwritten hebrew characters

Research output: Contribution to journalArticlepeer-review


Preliminary results of experiments with computer recognition of handwritten Hebrew characters are presented. The features used for the classification were the number of line crossings along some specified intersections, and the relative lengths of horizontal and vertical segments. Characters were clustered, first, according to some geometrical properties. Test characters within each cluster were then classified considering only those characters of the training set which were assigned to the same cluster. A min-Max decision rule yielded 90.9 percent of correct classification.

Original languageEnglish
Pages (from-to)73-77
Number of pages5
JournalSignal Processing
Issue number1
StatePublished - 1 Jan 1981


  • Character recognition
  • classification
  • clustering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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