Share Email Print

Proceedings Paper

Learning Techniques Applied To Multi-Font Character Recognition
Author(s): J.-J. Cannat; Y. Kodratoff
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper we present the usefulness of symbolic learning techniques for multi-font character recognition. In our already existing models of learning, knowledge is provided and the goal is to find a generalization of given examples, (while for our present model of character recognition knowledge has to be found or rather modified in order to discover a discriminating generalization. An inventive refining of knowledge has allowed to achieve the multi-font character recognition.

Paper Details

Date Published: 26 March 1986
PDF: 11 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964163
Show Author Affiliations
J.-J. Cannat, Universite De Paris-Sud (France)
Y. Kodratoff, Universite De Paris-Sud (France)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?