International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Secure Facial Authentication for Multi-Bank ATM Access |
|---|---|
| ABSTRACT | Automated Teller Machines (ATMs) are widely used for quick cash withdrawal and essential banking operations, but they are increasingly targeted by card theft, skimming, shoulder surfing, and unauthorized withdrawals. These frauds occur mainly because traditional ATM systems depend on physical debit cards and PINs, which can be stolen, duplicated, shared, or misused. Existing ATM security systems fail to verify the true identity of the person using the card, lack real-time user validation, and cannot prevent situations where another person performs transactions on behalf of the account holder. To overcome these limitations, this project introduces a deep learning–based ATM security framework that integrates biometric identity verification with multi-bank transaction access. During account creation, the user’s face is captured, processed using MTCNN for detection and alignment, validated by a Liveness CNN, and embedded using FaceNet to generate a secure facial template stored in the bank database. A debit card is inserted at the ATM, the camera captures the live face, which is aligned, checked for liveness, and compared with the stored FaceNet embedding for authentication. If matched, the ATM retrieves and displays all bank accounts linked to the user, allowing seamless multi-bank withdrawals and operations. The system generates a secure verification link showing the live captured face and sends it to the account holder. |
| AUTHOR | R.GAYATHRI, S.PRIYADHARSHINI Assistant Professor, Department of Master of Computer Applications, Vivekanandha Institute of Information and Management Studies Tiruchengode, Namakkal Tamil Nadu, India PG Scholar, Department of Master of Computer Applications, Vivekanandha Institute of Information and Management Studies, Tiruchengode, Namakkal, Tamil Nadu, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405070 |
| pdf/70_Secure Facial Authentication for Multi-Bank ATM Access.pdf | |
| KEYWORDS | |
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