Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Recent developments in artificial neural network based character recognition: a performance study

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)
Chandra, V. ; Dept. of Electr. & Comput. Eng., Florida Atlantic Univ., Boca Raton, FL, USA ; Sudhakar, R.

Artificial neutral networks (ANN) provide a robust computational paradigm for character recognition. The character classifier needs to have the capability to separate arbitrarily shaped regions in the pattern space. The recent development in such ANN-based classifiers and their learning methods are reviewed. Such classifiers are based on multilayer (hidden layer) ANN or higher-order correlation ANN and use backprojection learning. The performance of some ANN-based classifiers is evaluated and their relative performance is compared. The performance evaluation is based on factors such as recognition accuracy and reliability of classification fault tolerance to misregistration and spatial quantizations, computational costs in training, and classification

Published in:

Southeastcon '88., IEEE Conference Proceedings

Date of Conference:

11-13 Apr 1988