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Erschienen in:
Digital Image Watermarking Using Sine Transform Technique Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

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

verfasst von : Vishwas Raval, Apurva Shah

Erschienen in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel An Intrusion Detection and Prevention System Using AIS—An NK Cell-Based Approach
Nächstes Kapitel Neural Network Based Image Registration Using Synthetic Reference Image Rotation
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Metadaten
Titel
HORBoVF—A Novel Three-Level Image Classifier Using Histogram, ORB and Dynamic Bag of Visual Features
verfasst von
Vishwas Raval
Apurva Shah
Copyright-Jahr
2019
Buch
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_87

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