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The biggest problem faced by credit card users is that they have secure online transactions using credit cards. Credit card fraud is a major risk factor for credit card fraud. Credit cards were stolen and used to purchase large items, which often resulted in significant losses of credit card and business processing services. The security of transactional processes can be easily hacked because of advanced technology. Biometric authentication is considered to be the key to improving security issues. In this paper, a new face-to-face verification process is proposed to improve the security of the online payment system. Test results show that the proposed new process with face-to-face verification can increase security and improve the usability, power, and user satisfaction of the online transaction process.
The project proposes a credit card transaction system that will integrate face detection and face recognition technology using various Open-CV and machine learning techniques, respectively. Before access is granted, the user will need to take a photo of the face in order to access his account, face geometry, eye distance, and nose compared. This image will be compared to the image on the bank server for verification, if it exceeds the verification, access will be granted, otherwise, it will be rejected.
Keywords:
Open-CV, Face Recognition, Security, Verification, Credit Card.
Cite Article:
"Authentication of Credit Card using Facial Recognition", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.480 - 486, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212069.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator