• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3770039