A secure banking transaction system for special needs people

Authors

  • Rooa K. Uraiby Department of Computer Science, Mustansiriyah University

DOI:

https://doi.org/10.29304/jqcsm.2025.17.42566

Keywords:

Voice Recognition Methods Secure digital Banking System; Fraud detection; Role of AI in voice recognition.

Abstract

This paper synthesizes previous research efforts focusing on the development of innovative banking transaction systems designed to empower individuals with special needs through secure and accessible financial management tools. These systems leverage advanced technological solutions and sophisticated authentication strategies to guarantee the confidentiality and integrity of sensitive financial data. The creating a customizable interfaces and settings tailored to a variety of cognitive and physical abilities are also integrated by User-centered design principles. [10] Testing and User feedback elucidate the significant positive impact of these systems on the banking experiences of individuals with special needs, offering a reliable, secure, and accessible means for managing their financial well-being.[1],[4],[6]

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References

Jadhav, D., Shirsath, C., Sahasrabuddhe, S., & Singh, P. (2024). Recognition of Voice and Speech Using NLP Techniques.” 75–80. https://doi.org/10.1201/9781003433309-7

Ajmeera, K., Dbk, K., Paulraj, D., Vidhya, V., & V, S. (2023). An AI Based Chat Bot For Banking Applications using Intelligent Chat Bots. 1–4. https://doi.org/10.1109/rmkmate59243.2023.10369062

Gupta, N., & Gajjar, S. (2023). Real Time Voice Recognition System using Tiny ML on Arduino Nano 33 BLE *. 385–388. https://doi.org/10.1109/ises58672.2023.00085

Kambampati, P., Rane, S., Shoeb, A., & Dhannawat, R. (2024). PAYV - Payment Voice: A Platform using Voice Recognition to Enable Payment Transactions. 1–6. https://doi.org/10.1109/apcit62007.2024.10673442

T. N, "Implementation of the Voice Based Control and Detection of the Currency in ATM Transaction," 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2024, pp. 1-4, doi: 10.1109/INOCON60754.2024.10511632.

E. D. Dimaunahan, A. H. Ballado, F. R. G. Cruz and J. C. Dela Cruz, "MFCC and VQ voice recognition based ATM security for the visually disabled," 2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Manila, Philippines, 2017, pp. 1-5, doi: 10.1109/HNICEM.2017.8269516.

Bhavani, R., & Kathirvelu, K. (2024). Advancements in Speech Recognition: Exploring Feature Extraction Techniques for Enhanced Accuracy and Human-Machine Communication. 1–8. https://doi.org/10.1109/icaect60202.2024.10468885 In-text Citation (Bhavani & Kathirvelu, 2024)

Chetalam, L. J. (2018). Enhancing Security of Mpesa Transactions by Use of Voice Biometrics. http://erepo.usiu.ac.ke/handle/11732/4113

Oyewale, O. O., Hossain, M. D., Taenaka, Y., & Kadobayashi, Y. (2024). Optimizing Voice Biometric Verification in Banking with Machine Learning for Speaker Identification. 377–384. https://doi.org/10.1109/apcc62576.2024.10768085

https://www.geeksforgeeks.org/

https://www.google.com/

https://automationedge.com/blogs/ai-chatbot-in-banking/

O. Abdel-Hamid, A. -r. Mohamed, H. Jiang, L. Deng, G. Penn and D. Yu, "Convolutional Neural Networks for Speech Recognition," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 10, pp. 1533-1545, Oct. 2014, doi: 10.1109/TASLP.2014.2339736.

Pattern Recognition and Classification (Geoff Dougherty)

R. Maganti, J. Gutla, Y. Mallimpalli and S. Yellisetti, "Innovative Currency Identifier for the Blind through Audio Output using Deep Learning," 2024 International Conference on Automation and Computation (AUTOCOM), Dehradun, India, 2024, pp. 358-363, doi: 10.1109/AUTOCOM60220.2024.10486196.

A. S. Nimgaonkar and R. Kumbhar, "Usability - A Key to Security and Utility: Case of Core Banking System," 2024 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2024, pp. 1-6, doi: 10.1109/ESCI59607.2024.10497323.

Yang, S.-B., & Liang, T.-W. (2023). Deep Multi-Layer Neural Network with Variable-Depth Output. International Journal of Pattern Recognition and Artificial Intelligence. https://doi.org/10.1142/s021800142359022x

Zhang, S., Vassiliadis, V. S., Dorneanu, B., & Arellano-Garcia, H. (2023). Hierarchical multi-scale parametric optimization of deep neural networks. 53, 24963–24990. https://doi.org/10.1007/s10489-023-04745-8

Nazaret, A., & Blei, D. M. (2022). Variational Inference for Infinitely Deep Neural Networks. International Conference on Machine Learning, 16447–16461. https://doi.org/10.48550/arXiv.2209.10091

Alturki, A., Bchir, O., & Ben Ismail, M. M. (2022). Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights. Applied Sciences, 13(1), 398. https://doi.org/10.3390/app13010398

Varma, V., & Saravanan, A. K. (2023). Advancements in Speaker Recognition: Exploring Mel Frequency Cepstral Coefficients (MFCC) for Enhanced Performance in Speaker Recognition. International Journal For Science Technology And Engineering, 11(8), 88–98. https://doi.org/10.22214/ijraset.2023.55124

Githuku, W. A. & Kinyuru, R. N. (2018). Digital banking and customer relationship in banking industry in Kenya. International Academic Journal of Human Resource and Business Administration, 3(2), 14-32

Valsamidis, S., Tsourgiannis, L., Pappas, D., Mosxou, E. (2020). Digital Banking in the New Era: Exploring Customers’ Attitudes. In: Horobet, A., Polychronidou, P., Karasavvoglou, A. (eds) Business Performance and Financial Institutions in Europe. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-57517-5_6

Ahmed HASSAN, Rasha ABD EL-AZIZ and Meer HAMZA (2020), “The Exclusion of People with Visual Disabilities from Digital Banking Services in the Digitalization Era", Journal of Electronic Banking Systems, Vol. 2020 (2020), Article ID 519078, DOI: 10.5171/2020.519078

A. S. Naik, "Assistive Technology in Banking," 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-6, doi: 10.1109/ICCCNT61001.2024.10724888.

S. Anwar, G. Alburaiki, A. Ibrahimi and L. Qadri, "Digital Banking Issues Experienced by Older People," 2024 10th International Conference on Optimization and Applications (ICOA), Almeria, Spain, 2024, pp. 1-5, doi: 10.1109/ICOA62581.2024.10754510.

A. L, R. P. Lakshmi and S. Pavithra, "Cybersecurity in Banking and Cloud Computing: Threats, Defenses, and Innovations," 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India, 2025, pp. 1-6, doi: 10.1109/ICDSAAI65575.2025.11011646.

T. Yao, "Mathematical Statistics and Analysis on the Path Mechanism of Protecting Personal Information Relying on Information Digitization and Big Data," 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT), Chongqing, China, 2021, pp. 729-733, doi: 10.1109/ICESIT53460.2021.9696460.

S. Lilia, V. Yulia, G. E. Arslanovna and Y. Evgeniy Yurievich, "Research of the need for training financial literacy under economic uncertainty in the framework of the educational process at schools," 2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), Ruse, Bulgaria, 2022, pp. 1-7, doi: 10.1109/EEAE53789.2022.9831342.

I. Kovačević, S. Groš and A. Ɖerek, "Automatically Generating Models of IT Systems," in IEEE Access, vol. 10, pp. 13536-13554, 2022, doi: 10.1109/ACCESS.2022.3147312

A. Agape and M. Postolache, "Internet-enabled Access Control System using a Mobile Application," 2018 22nd International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 2018, pp. 244-249, doi: 10.1109/ICSTCC.2018.8540687.

I. Samuel, F. A. Ogunkeye, A. Olajube and A. Awelewa, "Development of a Voice Chatbot for Payment Using Amazon Lex Service with Eyowo as the Payment Platform," 2020 International Conference on Decision Aid Sciences and Application (DASA), Sakheer, Bahrain, 2020, pp. 104-108, doi: 10.1109/DASA51403.2020.9317214.

M. Pahwa, S. Agarwal and T. Rawal, "Revolutionizing Customer Experience: the Impact of AI-Driven Banking Automation," 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), Bhimtal, Nainital, India, 2025, pp. 371-376, doi: 10.1109/CE2CT64011.2025.10939341.

Biswajit Basu; Kevinkumar Garala; Bhupendra G. Prajapati, "Role of HMI in the Drug Manufacturing Process," in Human-Machine Interface: Making Healthcare Digital, Wiley, 2024, pp.329-356, doi: 10.1002/9781394200344.ch13.

K. Chandrasekhar, S. Das, N. Saibabu, N. Chaitanya, T. Bommali and F. Adamova, "A Machine Learning Driven Approach to Real-Time Fraud Detection in Modern Banking System," 2025 6th International Conference for Emerging Technology (INCET), BELGAUM, India, 2025, pp. 1-5, doi: 10.1109/INCET64471.2025.11140148.

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Published

2025-12-30

How to Cite

Rooa K. Uraiby. (2025). A secure banking transaction system for special needs people. Journal of Al-Qadisiyah for Computer Science and Mathematics, 17(4), Comp 327–339. https://doi.org/10.29304/jqcsm.2025.17.42566

Issue

Section

Computer Articles