DocumentCode :
2663387
Title :
Problem of optimal pertinent parameter selection in buried conductive tag recognition
Author :
Beheim, Larbi ; Zitouni, Adel ; Belloir, Fabien
Author_Institution :
Lab. d´´Automatique et de Microelectronique, Univ. de Reims Champagne-Ardenne, France
fYear :
2003
fDate :
4-6 Sept. 2003
Firstpage :
87
Lastpage :
91
Abstract :
The structural pattern recognition passes by an extraction stage of a certain number of characteristic features of the form. In the majority of the cases, it is not necessary to use the whole of the primitives extracted to obtain good performances of the recognition system. One uses the criteria of feature selection like Fisher or the criteria based on covariance matrix to determine the optimal primitives which characterize the best the form. We will show that these criteria give the most discriminating primitives but not necessarily the most optimal for a given classifier.
Keywords :
buried object detection; covariance matrices; eddy currents; encoding; feature extraction; optimisation; pattern recognition; signal classification; Fisher feature selection; buried conductive tag recognition; covariance matrix; feature extraction; optimal pertinent parameter selection; pattern recognition; Biological neural networks; Character recognition; Coils; Covariance matrix; Data mining; Eddy currents; Fuzzy logic; Pattern recognition; Plastics; Technical Activities Guide -TAG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7864-4
Type :
conf
DOI :
10.1109/ISP.2003.1275819
Filename :
1275819
Link To Document :
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