Exploration of an Indonesian Currency Legality Detection System by Utilizing Image Intensity of RGB Mean Values

Ratnadewi Ratnadewi, Aan Hangkawidjaja, Agus Prijono, Rudy Wawolumaja, Kartika Suhada, Maria Sutandi, Andrew Lehman, Elty Sarvia, Kervin Lusiano

2021

Abstract

Money is one of the objects used by the public to carry out legal buying and selling transactions in a country. The problem is there are fake bills that are printed by irresponsible people, so everyone needs to be able to know that the banknotes received is fake or genuine. But not everyone can detect the authenticity of a banknote, so a tool is needed to detect the banknote is genuine or fake. In this paper, software has been designed to detect the authenticity of Indonesian currency. In this paper, feature extraction of the grey level co-occurrence matrix with the features of entropy, contrast, correlation, energy and homogeneity is used to detect the nominal value of Indonesian banknotes and to detect the validity of Indonesian banknotes; the extraction of red-green-blue features with features is used mean R, mean G and mean B. The detected Indonesian currency was Indonesian currency from 2004-2016, with nominal values of Rp. 1000, Rp. 2000, Rp.5000, Rp. 10000, Rp. 20000, Rp. 50000, and Rp.100000. The classification process uses Naïve Bayes. From the test results, the system works well for reading the nominal value of Indonesian banknotes and detection the validity of the money can function properly.

Paper Citation

in Harvard Style

Ratnadewi R., Hangkawidjaja A., Prijono A., Wawolumaja R., Suhada K., Sutandi M., Lehman A., Sarvia E. and Lusiano K. (2021). Exploration of an Indonesian Currency Legality Detection System by Utilizing Image Intensity of RGB Mean Values. In Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES, ISBN 978-989-758-601-9, pages 9-17. DOI: 10.5220/0010743700003113

in Bibtex Style

@conference{ice-tes21,
author={Ratnadewi Ratnadewi and Aan Hangkawidjaja and Agus Prijono and Rudy Wawolumaja and Kartika Suhada and Maria Sutandi and Andrew Lehman and Elty Sarvia and Kervin Lusiano},
title={Exploration of an Indonesian Currency Legality Detection System by Utilizing Image Intensity of RGB Mean Values},
booktitle={Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,},
year={2021},
pages={9-17},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010743700003113},
isbn={978-989-758-601-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,
TI - Exploration of an Indonesian Currency Legality Detection System by Utilizing Image Intensity of RGB Mean Values
SN - 978-989-758-601-9
AU - Ratnadewi R.
AU - Hangkawidjaja A.
AU - Prijono A.
AU - Wawolumaja R.
AU - Suhada K.
AU - Sutandi M.
AU - Lehman A.
AU - Sarvia E.
AU - Lusiano K.
PY - 2021
SP - 9
EP - 17
DO - 10.5220/0010743700003113