• 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