Retinal scan authentication methodology for card payment in retail outlets

R. R. Varshni; T. Archanna; K. Thrisha; P. Kavitha; S. Malathi

doi:10.2991/978-94-6463-250-7_24

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Retinal scan authentication methodology for card payment in retail outlets

Authors

R. R. Varshni¹^{, *}, T. Archanna², K. Thrisha³, P. Kavitha⁴, S. Malathi⁵

¹Student, AI&DS Dept, Panimalar Engineering College, Chennai, India

²Student, AI&DS Dept, Panimalar Engineering College, Chennai, India

³Student, AI&DS Dept, Panimalar Engg. College, Chennai, India

⁴Associate Professor, Panimalar Engineering College, Chennai, India

⁵HOD, AI&DS Dept, Panimalar Engineering College, Chennai, India

^*Corresponding author. Email: varshniramakrishnan19@gmail.com

Corresponding Author

R. R. Varshni

Available Online 17 October 2023.

DOI: 10.2991/978-94-6463-250-7_24 How to use a DOI?
Keywords: Counterfeit cards; biometric; Retina scan; Convolutional Neural Network
ABSTRACT: Counterfeit cards and the theft of credit and debit card information pose the greatest danger to today’s modern society. This leads to numerous security concerns. Biometric retina scan authentication mechanism can solve the above mentioned problem considering that a person’s retina scan cannot be readily forged and all the information about the person’s card remains highly confidential. It also facilitates card payment in merchant establishments. This paper proposes a detailed working of how the retina scan mechanism is used for card payment and the image processing technique is done by using CNN.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series: Advances in Computer Science Research
Publication Date: 17 October 2023
ISBN: 10.2991/978-94-6463-250-7_24
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-250-7_24 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - R. R. Varshni
AU  - T. Archanna
AU  - K. Thrisha
AU  - P. Kavitha
AU  - S. Malathi
PY  - 2023
DA  - 2023/10/17
TI  - Retinal scan authentication methodology for card payment in retail outlets
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 131
EP  - 135
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_24
DO  - 10.2991/978-94-6463-250-7_24
ID  - Varshni2023
ER  -

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