Title: Analysing the steps of currency recognition systems

Authors: Suha A. Alharbi; Redna A. Almutlaq; Daliyah S. Aljutaili; Dina M. Ibrahim

Addresses: Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia ' Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia ' Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia ' Faculty of Engineering, Computers and Control Engineering Department, Tanta University, Tanta 31733, Egypt

Abstract: Recently, we have noticed that there are many organisations that still use banknotes and most of the commercial transactions are still done using physical currencies Therefore, we need to have systems to recognise and detect the currency. Existing systems depend on many steps you go through in order to analyse the currency and know its type and its value. Examples of these systems scale-invariant feature transform (SIFT), speeded up robust features (SURF), and speeded up robust scale invariant feature transform (SR-SIFT). In this paper, we explain the most important steps that the currency analysis system goes through them like database setup, image preprocessing, image analysis, currency recognition and recognition analysis with an explanation of each stage and clarification with examples.

Keywords: currency recognition; image preprocessing; and image analysis; SIFT algorithm; SR-SIFT algorithm; SURF algorithm; recognition analysis.

DOI: 10.1504/IJDS.2020.112135

International Journal of Data Science, 2020 Vol.5 No.2, pp.143 - 150

Received: 25 Apr 2020
Accepted: 06 Jul 2020

Published online: 11 Dec 2020 *

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