DocumentCode
3670817
Title
Discrimination of different fish species by E-nose
Author
Selda Güney;Ayten Atasoy
Author_Institution
Department of Electrical and Electronics Engineering, Baskent University, Ankara, 06530 Turkey
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
The aim of this study is to distinguish three different types of fish which are anchovy, horse mackerel and whiting by an electronic nose. Generally, the electronic noses are composed of three units. These are sensor unit which has 8 metal oxide sensors in this study, an electronic unit and a pattern recognition unit. In the pattern recognition unit, signal preprocessing, feature extraction and classification stages are performed. For distinguishing different fish species, different feature extraction methods and classification methods are compared with each other. Then the best combination of feature extraction and classification method is selected and applied to the fish database.
Keywords
"Feature extraction","Classification algorithms","Electronic noses","Decision trees","Chemicals","Metals"
Publisher
ieee
Conference_Titel
Telecommunications and Signal Processing (TSP), 2015 38th International Conference on
Type
conf
DOI
10.1109/TSP.2015.7296458
Filename
7296458
Link To Document