Academic Journals Database
Disseminating quality controlled scientific knowledge

The use of invariant moments in hand-written character recognition

ADD TO MY LIST
 
Author(s): Dan L. Lacrama | Ioan Snep

Journal: Annals. Computer Science Series
ISSN 1583-7165

Volume: 4;
Issue: 1;
Start page: 91;
Date: 2006;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

ABSTRACT
The goal of this paper is to present the implementation of a Radial Basis Function neural network with built-in knowledge to recognize hand-written characters. The neural network includes in its architecture gates controlled by an attraction/repulsion system of coefficients. These coefficients are derived from a preprocessing stage which groups the characters according to their ascendant, central, or descendent components.The neural network is trained using data from invariant moment functions. Results are compared with those obtained using a K nearest neighbor method on the same moment data.
Save time & money - Smart Internet Solutions     

Tango Jona
Tangokurs Rapperswil-Jona