A Framework for Verifying the Authenticity of Banknote on the Automated Teller Machine (ATM) Using Possibilistic C-Means Algorithm

Oluwabunmi Ayankemi ONI¹

1. Dept. of Computer Studies, The Polytechnic, Ibadan, Nigeria.

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.57-63, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i2.5763

Online published on Apr 30, 2018

Copyright © Oluwabunmi Ayankemi ONI . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
With the introduction of cash-less society policy by the Central Bank of Nigeria, the Nigerian Banking sector over the years has been experiencing significant changes and development in its Information and Communication Technology (ICT). The degree at which bank customers are embracing e-banking services especially Automated Teller Machine (ATM) is increasing exponentially, which have helped in decongesting the banking halls. One worrisome issue associated with this development is that some ATMs are dispensing fake notes especially the higher denominations. This research proposes a framework that will assist in verifying the authenticity of the banknotes on the ATMs using segmentation of the extracted features from banknotes with Possibilistic c-means algorithm. Images of the banknotes will be acquired using a scanner or camera and the acquired image which will be in RGB will be converted to grayscale. The banknote will be denoised after which edge detection operation will be performed. Image segmentation operation will be performed through the PCM which will identity the features of the study banknote that are to be compared with those of the original pre-stored picture in the system. Marches in the banknotes features determine its genuinty.

Key-Words / Index Term :
Possibilistic C-Means, ATM, Banknotes, E-Banking, Segmentation, Clustering, Framework

References :
[1]. Kavitha A., China Appala R. Naidu, Srinivasulu P., Meghana K. (2015) - Identify the Fake Currency in Automatic Teller Machine. International Journal of Innovative Research in Computer and Communication Engineering Vol. 3, Issue 11, November 2015 pg11411-11417
[2]. Bezdek James C., Ehrlich Robert and Full William. (1984) - FCM: The Fuzzy c-Means Clustering Algorithm. Computers and Geosciences Vol. 10, No 2-3, pp. 191-203. Pergamon Press Ltd.
[3]. Dunn J. C. (1973) - A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-seperated Clusters. Journal of Cybernetics 3: 32 -57.
[4]. Emeka E. Okafor and Favour N. Ezeani (2012) - Empirical Study of the Use of Automated Teller Machine (ATM) Among Bank Customers in Ibadan Metropolis, South Western Nigeria. European Journal of Business and Management Vol 4, No.7, 2012 pg18-33
[5]. Fatai Abiola Sowunmi, Zakariyah Olayiwola Amoo, Samuel Olasode Olaleye and Mudashiru Abiodun Salako (2014) - Effect of Automated Teller Machine (ATM) on Demand for Money in Isolo Local Government Area of Lagos State, Nigeria. Journal of Applied Business and Economics vol. 16(3) 2014 pg171-180
[6]. Ihejiahi R (2009) - How to fight ATM fraud online. Nigeria Daily News, June 21, P. 18.
[7]. Kalist V., Ganesan P., Sathish B. S., Jenitha J. Merlin Mary and Basha.shaik Khamar (2015) -Possibilistic Fuzzy c-Means Clustering Approach for the Segmentation of Satellite Images in HSL Colour Space. 3rd International Conference on Recent Trends in Computing 2015. Procedia Computer Science, Elsevier.
[8]. Krishnapuram R. and Keller J. (1993) - A Possibilistic Approach to Clustering. IEEE Transactions on Fuzzy Systems Vol. 1, Issue 2, pp. 98-110.
[9]. Muhammad, A. K. (2009) - An empirical study of automated teller machine service quality and customer satisfaction in Pakistani banks. European Journal of Social Sciences, Vol. 13 No.3, pp. 333-344
[10]. Nuthan K, Nagarathna B M, Sumana Nayaka R L and Vidya Rathna B (2015) - An Automated Teller Machine: Literature Review. International Journal of Novel Research in Computer Science and Software Engineering Vol. 2, Issue 1, pp: (43-45)
[11]. Yingxu Wang, Yanan Zhang (2010) - The Formal Design Model of an Automatic Teller Machine (ATM). International Journal of Software Science and Computational Intelligence, 2(1), 102-131, January-March 2010