loading...
Numeral Recognition by Weighting Local Decisions
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227821Seventh International Conference on D ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
G. Dimauro, Universit? degli Studi di Bari
S. Impedovo, Universit? degli Studi di Bari
R. Modugno, Universit? degli Studi di Bari
G. Pirlo, Universit? degli Studi di Bari
This paper presents a new technique to improve the combination of classification decisions obtained from local analysis of patterns. Specifically, a genetic algorithm is used to determine the optimal weight vector to balance the local decisions in the combination process.
The experimental results, carried out in the field of hand-written numeral recognition, demonstrate the effectiveness of the new technique.
Citation:
G. Dimauro, S. Impedovo, R. Modugno, G. Pirlo, "Numeral Recognition by Weighting Local Decisions," icdar, vol. 2, pp.1070, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
Usage of this product signifies your acceptance of the Terms of Use.