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A Study of Image Characteristics and Classifiers Utilized for Identify Leaves

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 458))

Abstract

This paper provides an overview of various leaf identification techniques with a classifier. A method of identification leaves is based on various leaf characteristics like a shape, color, texture features, etc., and classifiers used are like K-nearest neighbor, probabilistic neural network, support vector machine, decision tree classifier, artificial neural network. We proposed a method to identify the leaf picture and their species using open-source computer vision library because automatically identifying plant leaves is a challenging task in computer vision.

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Author information

Authors and Affiliations

  1. Electronics and Communication Engineering, Oriental University, Indore, India

    Dipak Pralhad Mahurkar & Hemant Patidar

Authors
  1. Dipak Pralhad Mahurkar
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  2. Hemant Patidar
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Corresponding author

Correspondence to Dipak Pralhad Mahurkar .

Editor information

Editors and Affiliations

  1. Gnanmani College of Engineering and Technology, Namakkal, India

    Jennifer S. Raj

  2. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

    Yong Shi

  3. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

  4. Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Pralhad Mahurkar, D., Patidar, H. (2022). A Study of Image Characteristics and Classifiers Utilized for Identify Leaves. In: Raj, J.S., Shi, Y., Pelusi, D., Balas, V.E. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-19-2894-9_42

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