By Topic

Sift algorithm to improve performance of Chinese character classifier using linear decision function

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
$33 $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

3 Author(s)
Jin Yijiang ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Zhang Min ; Ma Shaoping

Presents a method to improve the performance of a Chinese character classifier. The method examines the candidates of an existing classifier using a linear decision function to select the most probable one. The algorithm together with a complete scheme has been proposed. The possible improvement of the performance has been estimated based on the experimental inspection of the separability of Chinese characters. The result shows that recognition accuracy can be increased dramatically. This means that the algorithm is practical

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:4 )

Date of Conference:

2000