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Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
Chengdu, China
May 16, 2009 to May 17, 2009
ISBN: 978-0-7695-3614-9
pp: 610-613
The traditional method of detecting Chironomid larvaes and plankton mostly is manual identification, which is inefficient. This paper puts forward the Chironomid larvae recognition method which is based on the support vector machines. The Chironomid larvae images are decomposed using a wavelet from which the features were extracted and kernel function is used. The experiment shows that the recognition rate is up to 86%, which demonstrates the effectiveness of this method.
Chironomid larvae recognition; support vector machines; biometric recognition
Hai Guo, Jing-ying Zhao, Xing-bin Sun, "A Research on the Recognition of Chironomid Larvae Based on SVM", Circuits, Communications and Systems, Pacific-Asia Conference on, vol. 00, no. , pp. 610-613, 2009, doi:10.1109/PACCS.2009.70
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