INNOVATIVE SOLUTIONS FOR FINANCIAL SECURITY: IMPLEMENTING FACIAL RECOGNITION TO IDENTIFY WALK-IN CUSTOMERS IN BANKING CENTERS
Keywords:
Facial Recognition, Biometric Authentication, Banking Security, Customer Experience, Data PrivacyAbstract
This article explores the implementation of facial recognition technology for identifying walk-in customers in banking centers, examining its potential benefits, challenges, and implications for the financial services industry. It discusses how this biometric technology can enhance security measures, streamline customer interactions, and improve operational efficiency in banking environments. The article delves into the technical components of facial recognition systems, including image processing algorithms, real-time matching capabilities, and encrypted databases. It also addresses critical implementation challenges such as data protection, regulatory compliance, and integration with existing banking systems. The article further analyzes the impact on customer experience, exploring how facial recognition can lead to more personalized and efficient service delivery while raising important considerations about privacy and consent. Looking toward the future, the article considers the potential for widespread adoption of this technology in the banking industry, its integration with other emerging technologies, and its long-term effects on banking center operations and customer service. Through this comprehensive article examination, the article provides insights into how facial recognition technology could transform the landscape of in-branch banking services, balancing innovation with ethical considerations and customer trust.
References
Mounica S, Hyperverge(December 18, 2024). "Facial Recognition in Fintech: Revolutionizing Identity Verification and Security”. [Online] Available: https://hyperverge.co/blog/facial-recognition-fintech/
Jain, A. K., & Nandakumar, K. (2020). Biometric Authentication: System Security and User Privacy. IEEE Computer, 53(2), 34-45. [Online] Available: https://ieeexplore.ieee.org/document/6353458
Agidi, Richman. (2018). Biometrics: The Future of Banking and Financial Service Industry in Nigeria. vol 2. 1 to 23. 10.13140/RG.2.2.23408.92161. [Online] Available: http://dx.doi.org/10.13140/RG.2.2.23408.92161
Richard Kibble et al. Deloitte. (November 2020). "The future of retail banking: The hyper-personalisation imperative" [Online] Available: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/financial-services/deloitte-uk-hp-the-future-of-retail-banking.pdf
Financial Action Task Force (FATF). (July 2021). "Opportunities and Challenges of New Technologies for AML/CFT." [Online] Available: https://www.fatf-gafi.org/content/dam/fatf-gafi/guidance/Opportunities-Challenges-of-New-Technologies-for-AML-CFT.pdf.coredownload.pdf
Adelaja, Adesola & Ayodele, Oluwatoyin & Umeorah, Stanley & Amosu, Olamide. (2024). Enhancing consumer trust in financial services: the role of technological security innovations. Finance & Accounting Research Journal. 6. 1746-1759. 10.51594/farj.v6i10.1610. https://fepbl.com/index.php/farj/article/view/1610
Coforge. (2025). "Delivering Personalized Digital Banking Experience" [Online] Available: https://www.coforge.com/what-we-know/white-papers/delivering-personalized-digital-banking-experience
Financial Stability Board. (2017). "Artificial intelligence and machine learning in financial services." https://www.fsb.org/2017/11/artificial-intelligence-and-machine-learning-in-financial-service/
Pavel Šiška et al., World Economic Forum. (2023). "How artificial intelligence is transforming the financial ecosystem". [Online] Available: https://www2.deloitte.com/cz/en/pages/financial-services/articles/artificial-intelligence-transforming-financial-ecosystem.html
Published
Issue
Section
License
Copyright (c) 2025 Venkata Raja Ravi Kumar Gelle (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.