ATM Fraud Identification Using Machine Learning

Jim Mathew Philip; E. Parvish Musaraf; S.Shyamala; Surya Kumar

Research Article

ATM Fraud Identification Using Machine Learning

Paper ID 358
Volume 3, Issue 3
Pages 74-77
Published Online: May-June 2022
2 Views

Open Access Peer Reviewed

Authors

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.

View PDF Download PDF Cite this article

Article Information

DOI: No DOI
Published In: Volume 3, Issue 3 (2022)
Published Online: May-June 2022
Pages: 74-77
Article Type: Research Article
Check for updates: No DOI available for cross-reference

References

[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

ATM Fraud Identification Using Machine Learning

Article Information

References

Related Articles