Deep Learning- Based Face Recognition System for Secure Cheque Clearance and Customer Authentication in Banking Application

DOI

10.2991/978-94-6239-654-8_60How to use a DOI?

Keywords

Deep learning; Face recognition; StyleGAN; Arcface; Biometric authentication; cheque clearance; Banking security; Customer verification; Synthetic face generation

Abstract

In modern banking environments, secure and efficient customer authentication is critical to preventing financial fraud and enhancing user experience. Our research outlines a CNN-based model for rainfall prediction and a face recognition system to secure cheque clearance and customer authentication, leveraging a hybrid architecture verifier. The system captures and preprocesses facial images from ATMs, mobile apps, and branch kiosks, generating robust embeddings that are matched against stored profiles using angular margin-based classification. SttleGAN enhances training diversity through synthetic face generation, improving generalization across pose, lighting, and expression variations. ArcFace ensures precise identity verification with synthetic samples—the developed framework authentication precision of 97.2, demonstrating its reliability and scalability for real-world deployment. The framework also incorporates liveness detection and encryption protocols to safeguard biometric data, aligning with regulatory standards. This approach offers a contactless, fraud-resistant solution for next-generation banking security.

Copyright

© 2026 The Author(s)

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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TY  - CONF
AU  - Bhoomireddy Venkata Haripratapreddy
AU  - S. P. Vijayaragavan
PY  - 2026
DA  - 2026/04/24
TI  - Deep Learning- Based Face Recognition System for Secure Cheque Clearance and Customer Authentication in Banking Application
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 766
EP  - 782
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_60
DO  - 10.2991/978-94-6239-654-8_60
ID  - Haripratapreddy2026
ER  -