DocumentCode
664985
Title
Leaf based plant identification system for Android using SURF features in combination with Bag of Words model and supervised learning
Author
Quang-Khue Nguyen ; Thi-Lan Le ; Ngoc-Hai Pham
Author_Institution
Fac. of Inf. Technol., Hanoi Univ., Hanoi, Vietnam
fYear
2013
fDate
16-18 Oct. 2013
Firstpage
404
Lastpage
407
Abstract
Even many works have been proposed for automatic plant identification, there exists very few plant identification applications on the market. To the best of our knowledge, Leafsnap [1] is the first automatic plant identification application. However, this application is dedicated to iOS users and is working with tree species of the Northeastern United States. Today, a huge number of Android users make an interesting market for developing plant identification for Android. The contribution of this paper is two-fold. Firstly, we propose a leaf based plant identification method using SURF features in combination with Bag of Words and supervised learning. This method obtains better results in comparison with other existed methods in the same database. Secondly, we develop a leaf based plant identification system for Android.
Keywords
Android (operating system); learning (artificial intelligence); Bag of Words; Leafsnap; Northeastern United States; SURF features; android; iOS users; leaf based plant identification system; supervised learning; Conferences; Decision support systems; Rail to rail outputs; leaf image analysis; plant identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Technologies for Communications (ATC), 2013 International Conference on
Conference_Location
Ho Chi Minh City
ISSN
2162-1020
Print_ISBN
978-1-4799-1086-1
Type
conf
DOI
10.1109/ATC.2013.6698145
Filename
6698145
Link To Document