Share Email Print
cover

Proceedings Paper

Learning Techniques Applied To Multi-Font Character Recognition
Author(s): J.-J. Cannat; Y. Kodratoff
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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