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Automatic Classification of Mango Using Statistical Feature and SVM

  • Santi Kumari BeheraEmail author
  • Shrabani Sangita
  • Amiya Kumar Rath
  • Prabira Kumar SethyEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 41)

Abstract

Natural fruit like mango contributes a major part of national growth. Due to flavor, nutrition, and taste, mango is one of the popular fruits. There are around 283 types of mangoes present in India only, from that 30 types of mangoes are well known. Human vision sometimes leads to mismatch between the varieties of mango fruit. Using machine vision technique, it helps to reduce human effort and achieve a better result. The aim of this paper is to extract the features of mango fruit with GLCM (Gray-Level Co-Occurrence Matrix) and classify the variety of mango fruits by multiclass Support Vector Machine (SVM) with K-means clustering.

Keywords

Image processing SVM GLCM K-means 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringVSSUTBurlaIndia
  2. 2.Department of ElectronicsSambalpur UniversitySambalpurIndia

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