DocumentCode :
3646539
Title :
Leaf recognition using K-NN classification algorithm
Author :
Burcu Kır;Cemil Öz;Ali Gülbağ
Author_Institution :
Bilgisayar Mü
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
Plants play a crucial role in terms of the lives of human and other creatures since the existence of the universe. Despite the studies of plant scientists, there are many undiscovered and unidentified species in our environment. This paper is aimed to add the leaves, whose images have been clearly attained, to the system and to provide a proper analysis of those leaves. The images could be either the ones taken before or the ones obtained by means of a camera that is connected transiently. Leaf images went through pretreatment phases first, and then their features were extracted. Finally, classification processing was accomplished by using K-NN algorithm. The System is working successfully.
Keywords :
"Pattern recognition","Classification algorithms","Feature extraction","Neural networks","Conferences","Algorithm design and analysis","Shape"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN :
978-1-4673-0055-1
Type :
conf
DOI :
10.1109/SIU.2012.6204575
Filename :
6204575
Link To Document :
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