Secure AI-Driven Currency Recognition System for Visually Impaired Users: Integrating Network Security Measures for Data Protection

EasyChair Preprint 15864

Abstract

In recent days, the number of visually impaired people has been growing all over the world, and visually impaired people may suffer from money transactions (knowing each currency paper apart). So, there is some interest among many researchers in coming up with ways of providing assistive tools or technologies to help these people with monetary transactions. In this paper, we will provide a system for solving the problem of non-recognized Iraqi banknote currencies using AI recognition techniques and obtaining high-accuracy results. This model’s result is very high, equaling approximately 100% testing and validation accuracy using mobile Architecture in less than 1 second.

Keyphrases: AI-driven, Data protection., Security, currency, recognition, visually impaired users

@booklet{EasyChair:15864,
  author    = {Wisam A. Hasan and Basim A. Farhan and Ahmed S. Ibraheem and Ali A. Hadi and Ammar A. Muhammed and Amjed A. Ahmed},
  title     = {Secure AI-Driven Currency Recognition System for Visually Impaired Users: Integrating Network Security Measures for Data Protection},
  howpublished = {EasyChair Preprint 15864},
  year      = {EasyChair, 2025}}