Classifiers fusion in recognition of wheat varieties

Authors:
Sarunas Raudys;Ömer Kaan Baykan;Ahmet Babalik;Vitalij Denisov;Antanas Andrius Bielskis
Affiliations:
Institute of Mathematics and Informatics, Vilnius, Lithuania and Klaipeda University, Klaipeda, Lithuania;Department of Computer Engineering, Selcuk University, Konya, Türkiye;Department of Industrial Engineering, Selcuk University, Konya, Türkiye;Klaipeda University, Klaipeda, Lithuania;Klaipeda University, Klaipeda, Lithuania
Venue:
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Year:
2007

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Abstract

Five wheat varieties (Bezostaja, Çesit1252, Daǧdas, Gerek, Kiziltan traded in Konya Exchange of Commerce, Turkey), characterized by nine geometric and three colour descriptive features have been classified by multiple classier system where pair-wise SLP or SV classifiers served as base experts. In addition to standard voting and Hastie and Tibshirani fusion rules, two new ones were suggested that allowed reducing the generalization error up to 5%. In classifying of kernel lots, we may obtain faultless grain recognition.