Recognition of handwritten characters - a review

RH Davis, J. Lyall

Research output: Contribution to journalArticlepeer-review


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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