Use of Contextual Constraints in Recognition of Contour-Traced Handprinted Characters

Robert W. Donaldson, Godfried T. Toussaint

Research output: Contribution to journalArticlepeer-review

Abstract

A contour-tracing technique described in an earlier paper [9] was used along with monogram, bigram, and trigram contextual constraints to recognize handprinted characters. Error probabilities decreased by factors ranging from two to four over those which resulted when contextual constraints were ignored. A simple technique for searching over only the most probable bigrams and trigrams was used to significantly reduce the computation without reducing the recognition accuracy.

Original languageEnglish (US)
Pages (from-to)1096-1099
Number of pages4
JournalIEEE Transactions on Computers
VolumeC-19
Issue number11
DOIs
StatePublished - Nov 1970

Keywords

  • Block decoding
  • character recognition
  • contextual constraints
  • contour analysis
  • handprinted characters
  • limited-data experiments
  • suboptimum classification

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

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