Credit Card Transaction Based on Face Recognition Technology

Author:

Dhikhi T,Rana Ajay,Thakur Anurag,Kapoor Karan

Abstract

Abstract This paper proposes a method for credit card transaction system which will make use of face recognition and face detection technology, using Haar Cascade and GLCM algorithm. The main problem faced by credit card users is attack to lot of privacy issues such as credit card. This generally happens when users give their credit card number to unknown people or when the card is lost. So, we are proposing a system that will reduce the risk of credit card frauds. The system we are proposing will match the image of user’s face with dataset of respective user. A database will be maintained for authentication purpose. If the image matches, that means user is genuine and he will be allowed to proceed otherwise, the user will be denied to do the transaction.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference12 articles.

1. Credit card fraudulent Transaction Detection,2018

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1. Enhanced Security in Payment Gateways Through Face Detection: An Advanced Approach Using DenseNet 121- BiLSTM Models;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

2. Evolving Payment Security: A Facial Recognition-Based Credit Card Reader with A Multifunctional Cascade Neural Network;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Detecting Credit Card Frauds Using Deep Learning and Face Detection;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

4. Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2021-12-13

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