Algorithms for Recognizing Contour-Traced Handprinted Characters

Godfried T. Toussaint, Robert W. Donaldson

Research output: Contribution to journalArticle

Abstract

A contour-tracing technique originally devised by Clemens and Mason was modified and used with several different classifiers to recognize upper case handprinted characters. Recognition accuracies obtained compare favorably with other published results, particularly when additional simple tests are performed to differentiate commonly confused characters. One suboptimum classifier, in addition to yielding near optimum performance when tested on training data, uses much less statistical information than the optimum Bayes classifier and is significantly better than the optimum classifier when training and test data are limited.

Original languageEnglish (US)
Pages (from-to)541-546
Number of pages6
JournalIEEE Transactions on Computers
VolumeC-19
Issue number6
DOIs
StatePublished - Jun 1970

Keywords

  • Character recognition
  • classification algorithms
  • contextual constraints
  • contour analysis
  • decision trees
  • feature extraction
  • handprinted characters
  • limited-data experiments
  • machine learning
  • suboptimum classification

ASJC Scopus subject areas

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

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