By Topic

Automatic quality measurement of gray-scale handwriting based on extended average entropy

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)
Jeong-Seon Park ; Center for Artificial Vision Res., Korea Univ., Seoul, South Korea ; Hee-Joong Kang ; Seong-Whan Lee

With a surge of interest in OCR in the 1990s, a large number of handwriting or handprinting databases have been built one after another around the world. One problem that researches encounter today is that all the databases differ in various ways including the script qualities. The paper proposes a method for measuring handwriting qualities that can be used for comparison of databases and objective test for character recognizers. The key idea involved is classifying character samples into a number of groups each characterizing a set of qualities. In order to evaluate the proposed method, we carried out experiments on the KU-1 database

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:4 )

Date of Conference: