DocumentCode :
3770039
Title :
Plant identification system using its leaf features
Author :
Pradeep Nijalingappa;V. J. Madhumathi
Author_Institution :
Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India
fYear :
2015
Firstpage :
338
Lastpage :
343
Abstract :
Plant identification based on leaf is becoming one of the most interesting and a popular trend. Each leaf carries unique information that can be used in the identification of plants. In the identification of plants based on leaf, the leaf images needs to be pre-processed accordingly to extract the various critical features. In this paper, we present the identification of plants based on leaf features using Multiclass SVM (MSVM) as a classifier.
Keywords :
"Feature extraction","Physiology","Veins","Training","Support vector machines","Wiener filters","Shape"
Publisher :
ieee
Conference_Titel :
Applied and Theoretical Computing and Communication Technology (iCATccT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICATCCT.2015.7456906
Filename :
7456906
Link To Document :
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