Anatomy of Leaf Classification Techniques

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2019Publisher:IEEEJournal:2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

Authors: Shilpi Aggarwal; Madhulika Bhatia;

doi: 10.1109/comitcon.2019.8862194

Anatomy of Leaf Classification Techniques

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Abstract

There are number of categories of flora and fauna on earth. Vegetation is important for the existence of life. Leafs are the essential part of this vegetation. It is important to recognize them so that we can preserve them for the future. Classification is a process to distinguish the leaf on the basis of features that are extracted from the leaf samples. In this paper different classification techniques based on NN, SVM, K-NN, and the hybrid approaches like SVM-BDT, DHGN using KNN, Incremental, Adaboost classifier are presented which has been used for leaf classification.

Related Organizations

Manav Rachna International Institute of Research and Studies
India
International Institute of Minnesota
United States

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