Recognition of handwritten characters - a review

RH Davis, J. Lyall

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


In the quest to study human perception, the field of character recognition remains prominent. Research has progressed from early, cumbersome optical character readers used for the recognition of a limited set of individual characters to the present-day automatic recognition of handwritten cursive script. This paper attempts to clarify the fundamentals of character recognition, highlighting the processes involved in using a standard database for 'learning' character sets and also the standards and constraints imposed by researchers concerning the constitution of a valid character. A number of various feature extraction techniques which enable individual characters to be recognized are discussed and compared. © 1986.

Original languageEnglish
Pages (from-to)208-218
Number of pages11
JournalImage and Vision Computing
Issue number4
Publication statusPublished - Nov 1986


  • feature extraction
  • handwritten characters
  • pattern recognition


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