Manuscript Number : SHISRRJ181413
Secured Payment card Transaction Using Face Recognition
Authors(5) :-Esaiya. L.C, Baala Vibi. A, Jeevitha. C, Athithi Melli, Dhivya. S Payment cards including the credit card and debit cards are part of a payment system issued by financial institutions, such as a bank, to a customer that enables the cardholder to access the funds in the designated bank accounts make payments by electronic funds transfer and access automated teller machines (ATM). These machines become insecure due to the operations such as identity verification only by the corresponding PIN number of card. This leads to the attempt of using the ATM card by others to perform the fraudsters’ operations. In order to handle these insecure situations, the authenticated delegation method is proposed in this paper along with the method of facial recognition. The proposed system achieves the better security model in the ATM environment.
Esaiya. L.C Authentication, Banking, Delegation, Facial Recognition, VPN Publication Details Published in : Volume 1 | Issue 4 | November-December 2018 Article Preview
UG Scholar, Department of Computer Science Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Baala Vibi. A
UG Scholar, Department of Computer Science Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Jeevitha. C
UG Scholar, Department of Computer Science Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Athithi Melli
UG Scholar, Department of Computer Science Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Dhivya. S
Assistant professor, Department of Computer Science Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Date of Publication : 2018-12-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 62-66
Manuscript Number : SHISRRJ181413
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ181413