Title :
A comparison of two approaches for combining the votes of cooperating classifiers
Author :
Franke, Jürgen ; Mandler, Eberhard
Author_Institution :
Dept. of Document Anal., Daimler-Benz Res. Center Ulm, Germany
fDate :
30 Aug-3 Sep 1992
Abstract :
Two different approaches are described to combine the results of different classifiers. The first approach is based on the Dempster/Shafer theory of evidence and the second one is a statistical approach with some assumptions on the input data. Both approaches were tested for user-dependent recognition of on-line handwritten characters
Keywords :
belief maintenance; character recognition; probability; statistical analysis; Dempster/Shafer theory of evidence; belief maintenance; character recognition; cooperating classifiers; on-line handwritten characters; statistical approach; user-dependent recognition; Automatic testing; Character recognition; Handwriting recognition; Pattern matching; Pattern recognition; Text analysis; Voting;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201786