ICTACT Journal on Microelectronics

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Enhancing ATM Security using Fingerprint


Affiliations
1 Department of Information and Communication Technology, College of Technology, Sri Lanka
     

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In this modern world, all the people were used ATM machines to withdrawal and transfer cash. This research based on implementing Fingerprint mechanism in the ATM System. We were selected this area to increase save and secure for all customers to make easy to do the transaction. The fingerprint minutiae features are different for each human being. There is no worry of losing ATM card and no need to carry ATM card with you always. By comparing different technologies that are used for ATM security, it observes that fingerprint technology performs better and safer than other technologies. Which is making easy and secure transaction also maintaining user-friendly environment with user and ATM machine. This is most promising technology at electronic money transaction.

Keywords

Enhancing ATM, Security System for ATM, Biometric Base ATM, Fingerprint Based ATM.
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  • A.K. Ojha, “ATM Security using Fingerprint Recognition”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, No. 6, pp. 170-175, 2015.

  • R. Banu Priya, P. Kavitha, T. Ashok, N. Logesh Kumar and M. Chandrasekar, “Smart ATM Access and Security System using RFID and GSM Technology”, International Journal of Scientific Research and Education, Vol. 2, No. 5, pp. 446-453, 2013.

  • G. Eason, B. Noble and I.N. Sneddon, “On Certain Integrals of Lipschitz-Hankel Type Involving Products of Bessel Functions”, Philosophical Transactions of the Royal Society A, Vol. A247, pp. 529-551, 1955.

  • G. Sambasiva Rao, C. Naga Raju, L.S.S. Reddy and E.V. Prasad, “A Novel Fingerprints Identification System Based on the Edge Detection”, International Journal of Computer Science and Network Security, Vol. 8, No. 12, pp. 394-397, 2008.

  • M.R. Girgis, A.A. Sewisy and R. F. Mansour, “Employing Generic Algorithms for Precise Fingerprint Matching based on Line Extraction”, Graphics, Vision and Image Procession Journal, Vol. 7, No. 1, pp. 51-59, 2007.

  • Duresuoquian Miao, Qingshi Tang and Wenjie Fu, “Fingerprint Minutiae Extraction Based on Principal Curves”, Pattern Recognition Letters, Vol. 28, pp. 2184-2189, 2007.

  • Pranali Ravikant Hatwar and Ravikant B Hatwar, “Bio-Signal based Biometrics Practices”, International Journal of Creative Research Thoughts, Vol. 1, No. 4, pp. 1-9, 2013.

  • Edmund Spinella, “Biometric Scanning Technologies: Finger, Facial and Retinal Scanning”, Available at: https://www.sans.org/reading-room/whitepapers/authentication/biometric-scanning-technologies-finger-facial-retinal-scanning-1177.

  • J. Swann, “Teaching Ethics: It's the Right Thing to Do”, Available at: https://www.informs.org/ORMS-Today/Archived-Issues/2004/orms-6-04/Teaching-Ethics-It-s-the-Right-Thing-to-Do.

  • O.W. Fatai, J.B. Awotunde and O.E. Matluko, “A Novel System of Fingerprint Recognition Approach for Immigration Control”, IOSR Journal of Computer Engineering, Vol. 16, No. 3, pp. 39-42, 2014.

  • N. Selvaraj and G. Sekar, “A Method to Improve the Security Level of ATM Banking Systems using AES Algorithm”, International Journal of Computer Applications, Vol. 3, No. 6, pp. 5-9, 2010.

  • T.C. Glaessner, T. Kellermann and V. McNevin, “Electronic Security: Risk Mitigation in Financial Transactions: Public Policy Issues”, Working Paper, World Bank Publications, pp. 3-5, 2002.

  • W.W.N. Wan, C.L. Luk and C.C. Chow, “Customers Adoption of Banking Channels”, International Journal of Bank Marketing, Vol. 23, No. 3, pp. 255-272, 2005.

  • B. Richard and M. Alemayehu, “Developing E-banking Capabilities in a Ghanaian Bank: Preliminary Lessons”, Journal of Internet Banking and Commerce, Vol. 11, No. 2, pp. 1-6, 2006.

  • N.K. Ratha, J.H. Connell and R.M. Bolle, “Enhancing Security and Privacy in Biometrics-based Authentication Systems”, IBM Systems Journal, Vol. 40, No. 3, pp. 614-634, 2001.

  • J. Yang, N. Xiong, A.V. Vasilakos, Z. Fang, D. Park, X. Xu, S. Yoon, S. Xie and Y. Yang, “A Fingerprint Recognition Scheme Based on Assembling Invariant Moments for Cloud Computing Communications”, IEEE Systems Journal, Vol. 5, No. 4, pp. 574-583, 2011.

  • J. Leon, G. Sanchez, G. Aguilar, L. Toscano, H. Perez and J.M. Ramirez, “Fingerprint Verification Applying Invariant Moments”, Proceedings of IEEE International Midwest Symposium on Circuits and Systems, pp. 751-757, 2009.

  • L. O’Gorman, “Overview of Fingerprint Verification Technologies”, Information Security Technical Report, Vol. 3, No. 1, pp. 21-32, 1998.

  • G.B. Iwasokun, O.C. Akinyokun, B.K. Alese and O. Olabode, “Fingerprint Image Enhancement: Segmentation to Thinning”, International Journal of Advanced Computer Science and Applications, Vol. 3, No. 1, pp. 15-24., 2012.


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  • Enhancing ATM Security using Fingerprint

Abstract Views: 329  |  PDF Views: 0

Authors

S. Jathumithran
Department of Information and Communication Technology, College of Technology, Sri Lanka
V. Thamilarasan
Department of Information and Communication Technology, College of Technology, Sri Lanka
A. Piratheepan
Department of Information and Communication Technology, College of Technology, Sri Lanka
P. Rushanthini
Department of Information and Communication Technology, College of Technology, Sri Lanka
J. Mercy veniancya
Department of Information and Communication Technology, College of Technology, Sri Lanka
P. Nirupa
Department of Information and Communication Technology, College of Technology, Sri Lanka
K Thiruthanigesan
Department of Information and Communication Technology, College of Technology, Sri Lanka

Abstract


In this modern world, all the people were used ATM machines to withdrawal and transfer cash. This research based on implementing Fingerprint mechanism in the ATM System. We were selected this area to increase save and secure for all customers to make easy to do the transaction. The fingerprint minutiae features are different for each human being. There is no worry of losing ATM card and no need to carry ATM card with you always. By comparing different technologies that are used for ATM security, it observes that fingerprint technology performs better and safer than other technologies. Which is making easy and secure transaction also maintaining user-friendly environment with user and ATM machine. This is most promising technology at electronic money transaction.

Keywords


Enhancing ATM, Security System for ATM, Biometric Base ATM, Fingerprint Based ATM.

References