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Research Article
ATM Fraud Identification Using Machine Learning
Jim Mathew Philip1
E. Parvish Musaraf2
S.Shyamala3
Surya Kumar4
1 Assistant Professor (Selection Grade), Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore-641 010, Tamil Nadu, India. 234 Final year B.E(CSE), Sri Ramakrishna Institute of Technology, Coimbatore-641 010, Tamil Nadu, India.
Published Online: May-June 2022
Pages: 74-77
Cite this article
No DOIReferences
[1] R. Babaei, O. Molalapata and A. A. Pandor, Face Recognition Application for Automatic Teller Machines (ATM), in ICIKM, 3rd ed. vol.45,
pp.211-216, 2012.
[2] Aru, O. Eze and I. Gozie, Facial Verification Technology for Use in ATM Transactions, in American Journal of Engineering Research (AJER),[Online] 2013, pp. 188-193.
[3] K. J. Peter, G. Nagarajan, G. G. S. Glory, V. V. S. Devi, S. Arguman and K. S. Kannan, Improving ATM Security via Face Recognition, in
ICECT, Kanyakumari, 2011, vol.6, pp.373-376
pp.211-216, 2012.
[2] Aru, O. Eze and I. Gozie, Facial Verification Technology for Use in ATM Transactions, in American Journal of Engineering Research (AJER),[Online] 2013, pp. 188-193.
[3] K. J. Peter, G. Nagarajan, G. G. S. Glory, V. V. S. Devi, S. Arguman and K. S. Kannan, Improving ATM Security via Face Recognition, in
ICECT, Kanyakumari, 2011, vol.6, pp.373-376
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