Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61864
Volume:
10 |
4 |
April 2026
Pages:
1-8
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.
Banking & Financial Technology
SAGE University, Indore
Banking & Financial Technology
SAGE University, Indore
This research paper will be a synthesis paper in the modern readings about the public trust, usability, design, and technological strategies in securing a banknote and detecting counterfeit. By using the secondary research, we address the empirical research and policy reports conducted by central banks, academic and industry researchers. The results indicate that even though public trust in banknotes is critical towards monetary stability, there are still loopholes in the knowledge on security aspects, perception on design usability, and counterfeiting resistance. The sphere of banknote authentication is being redefined by new ways of technology, such as machine learning, spectroscopic techniques, and neuromeric. The paper ends with research gaps and policy recommendation to the central banks to maintain confidence in physical currency in the digital transformation era.
KEYWORDS
This research was an attempt to synthesize the available literature on the topic of public trust, usability, design, and technological innovations in banknote security, with the broad objective of how to maintain confidence in physical money in the digitalizing financial system. Using secondary research, the study attained its objectives as stated as follows. First, the study of empirical evidence established that the most important aspect of banknote confidence is the perception and trust of the people. Almost all studies always revealed that perception of security, the generation values towards cash and central banking trust, all influence people to use cash. Second, the usability and the design of banknote showed the dual significance of beauty and accessibility. Holograms, colour-shifting inks, and tactile cues are also features that make people feel more confident when they are conspicuous and convenient to use, but too complicated or inaccessible designs make people feel less confident. Third, there were cognitive and perceptual studies that revealed the role of the human attention, scepticism, and familiarity with experience in detecting counterfeits. The research on neuroscience and eye-tracking demonstrated that subconscious cues in addition to conscious verification are the sources of the accuracy in authentication, and demographic disparities suggest that the specific awareness strategies are required. Fourth, the technological and forensic methods discussed during the evaluation also highlighted the increasing use of artificial intelligence, spectroscopy, and machine learning in detecting counterfeits. Although these approaches are very accurate, they still need additional modifications to achieve affordability, scalability and cross-currency usage. Lastly, the synthesis revealed several research gaps and policy implications such as longitudinal studies on public trust, cross-cultural research on design, a combination of neurometric techniques, creation of portable detection technologies, and ethical issues in source materials and banknote printed materials. Collectively, these results suggest that banknote confidence is a multi-dimensional phenomenon, as technical protection is only one of the factors that contribute to the development of its quality, in addition to social trust, human usability, and policy choices. To address the challenges of the digital age, central banks need to keep investing in security innovation, public education, and inclusive design and strike a balance between sustainability and ethics. This study helps towards a comprehensive comprehension of how physical currency can still be a reliable and trusted constituent of world payment systems by answering these questions.
Bank of England. (2017). Public reactions to banknote design changes: Case studies and consultation results. London: Bank of England.Borg, J. C., Buttigieg, N., & Lenzo, E. C. (2019). Analysis of cash usage, preferences and perceptions. Central Bank of Malta.Choudhary, R., Singh, A., & Gupta, M. (2020). Literature survey on revolutionizing fake currency detection: CNN-based approach to Indian Rupee notes. International Journal of Computer Applications, 176(21), 1–6.De Heij, H. (2016). A method for measuring the public’s appreciation and knowledge of banknotes. De Nederlandsche Bank.Dodgson, C. R., & Raymond, J. E. (2019). Banknote authenticity signalled by neural responses. Neuropsychologia, 124, 35–45.European Central Bank. (2021). Trust in central banks and implications for cash confidence. ECB Working Paper Series.Fung, B. S. C., & Shao, E. (2011). Modelling the counterfeiting of bank notes: A literature review. Bank of Canada Discussion Paper.Hollingworth, A., et al. (2019). Strategic eye movements in banknote authentication. Journal of Vision, 19(10), 1–17.Horst, D., Masuda, O., & Pedersen, M. (2019). Enhancing banknote authentication by guiding attention to security features. Cognitive Research: Principles and Implications, 4(1), 12.Negru, I. C. (2017). Spectroscopic and mass spectrometry techniques for counterfeit detection. Forensic Science International, 277, 260–270.Reserve Bank of Australia. (2019). Confidence in Australian banknotes (RDP 2019-12). Sydney: RBA.Zhang, Y., Li, H., & Wang, J. (2018). Automated detection and classification of counterfeit banknotes using OCT and machine learning. Journal of Electronic Imaging, 27(5), 053004.
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...