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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM24983
Volume:
7 |
8 |
Aug 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In today’s rapidly evolving digital landscape, ensuring the security and convenience of ATM transactions is of paramount importance. Traditional authentication methods, such as PINs and cards, have proven vulnerable to fraud and identity theft. To address these concerns, facial biometrics technology has emerged as a cutting-edge solution. This abstract presents “Visage Guard,” an advanced facial biometrics system designed to enhance security and convenience in ATM transactions. By capturing and analyzing unique facial features, the system verifies the identity of the user in real-time, ensuring a high level of accuracy and reliability. This eliminates the need for physical cards or memorizing complex PINs, simplifying The authentication process and providing a seamless user experience. The system employs state-of-the-art anti-spoofing techniques to counteract potential fraudulent attempts. By incorporating depth sensing, liveness detection, and motion analysis, Visage Guard ensures that only genuine live faces are recognized, minimizing the risk of unauthorized access. Additionally, the system continuously adapts and improves its recognition capabilities through machine learning, staying ahead of evolving threats and ensuring long-term security.
KEYWORDS
Publication Date
2/7/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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