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An Approach to Improve the Classification Accuracy of Leaf Images with Dorsal and Ventral Sides by Adding Directionality Features with Statistical Feature Sets

  • Arun KumarEmail author
  • Vinod Patidar
  • Deepak Khazanchi
  • G. Purohit
  • Poonam Saini
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 452)

Abstract

The basic purpose of this work is to study statistical feature set obtained from digital leaf image with dorsal and ventral sides and to find the degree of classification accuracy for each dorsal and ventral leaf image dataset. Moreover, the effect of adding directional features to statistical feature set on the overall classification accuracy, is also investigated. The work also studies whether the ventral side of the digital leaf image can be a suitable alternative for classification of leaf image data set or not.

Keywords

Leaf images Directionality Statistical features Dorsal and ventral sides 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Arun Kumar
    • 1
    Email author
  • Vinod Patidar
    • 1
  • Deepak Khazanchi
    • 2
  • G. Purohit
    • 1
  • Poonam Saini
    • 1
  1. 1.Sir Padampat Singhania UniversityUdaipurIndia
  2. 2.University of NebraskaOmahaUSA

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