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HORBoVF—A Novel Three-Level Image Classifier Using Histogram, ORB and Dynamic Bag of Visual Features

  • Vishwas RavalEmail author
  • Apurva Shah
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Every country has its own currency in terms of coins and paper notes. Each of the currency of Individual County has its unique features, colors, denominations, and international value. Though it is easy for us to identify the denomination but for the blind people, it is a not at all possible to do this! Especially when size of currency of different denominations is same, it becomes almost impossible for them to do this and there are chances that they might got cheated by others. This paper proposes and discusses a novel three-stage image classifier algorithm for the same purpose to help the blind people in identifying denomination more accurately and to check if the currency is real or fake.

Keywords

Indian rupees Visually challenged Image processing Currency recognition Histogram Bag of features ORB 

Notes

Acknowledgements

We are thankful to the Omnipotent God for making us able to do something for the society. We are thankful to our parents for bringing us on this beautiful planet. We are grateful to our department and University for providing support and resources for this work. Finally, we acknowledge the authors and researchers whose papers helped us to move ahead for this work.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CSE Department, Faculty of Technology and EngineeringThe M S University of BarodaVadodaraIndia

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