Cart (Loading....) | Create Account
Close category search window
 

A neural network recognition system for handwritten Chinese character using structured approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yeung, D.S. ; Dept. of Comput., Hong Kong Polytech., Hong Kong ; Hak-Shun Fong

In this paper, a neural network based off-line recognition system for handwritten Chinese characters is presented. Seventeen character categories are handled with a recognition rate of 52.44%. Tolerance to shift, slight rotation and slight scaling of the input characters is achieved by the system. The approach demonstrates an integration of neural computation and structural representation of Chinese characters. Neural network is employed for its tolerance to inexactness and noise contamination of input patterns, while structural representation is adopted for its relevance to the construction of Chinese characters. Being a neural network based system, it is adaptable to accommodate newly encountered writing styles of a category. Moreover, an addition of new character categories do not require the removal of the established knowledge in the current system

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:7 )

Date of Conference:

27 Jun-2 Jul 1994

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.