Research Article Open Access

Recognition of Hand Printed Characters Based on Simple Geometric Features

Sami M. Halawani and Ibrahim A. Albidewi

Abstract

Problem statement: The use of computers in information processing technology nowadays is one of the main trends of office automation. For more than four decades, information from the outside world is transferred into computers in a traditional way by keying in these raw data with the help of keyboard. Most of these data are in hand printed form and very large; therefore the use of automatic recognition technique of hand printed character by machine is essential to achieve an efficient way of high speed man-machine communication. Approach: Handwriting recognition had always been tough problem because of the handwriting variability, ambiguity and illegibility. This study described a simple approach involved in offline hand printed recognition. Results: The cost of computing had been reduced a lot by introducing a simple mechanism yet effective to extract the minimal number of geometric features for recognition’s purpose. Conclusion: The experiment had shown that when hand printed characters are drawn clearly according to specified rules and models; it is then possible to perform recognition perfectly.

Journal of Computer Science
Volume 6 No. 12, 2010, 1518-1523

DOI: https://doi.org/10.3844/jcssp.2010.1518.1523

Submitted On: 30 April 2010 Published On: 30 November 2010

How to Cite: Halawani, S. M. & Albidewi, I. A. (2010). Recognition of Hand Printed Characters Based on Simple Geometric Features. Journal of Computer Science, 6(12), 1518-1523. https://doi.org/10.3844/jcssp.2010.1518.1523

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Keywords

  • Hand printed character recognition
  • feature extraction
  • character dictionary
  • bit masking operation