@article {10.3844/jcssp.2010.1518.1523,
article_type = {journal},
title = {Recognition of Hand Printed Characters Based on Simple Geometric Features},
author = {Halawani, Sami M. and Albidewi, Ibrahim A.},
volume = {6},
number = {12},
year = {2010},
month = {Nov},
pages = {1518-1523},
doi = {10.3844/jcssp.2010.1518.1523},
url = {https://thescipub.com/abstract/jcssp.2010.1518.1523},
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 = {Journal of Computer Science},
publisher = {Science Publications}
}