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Yemeni Paper Currency Detection System
2019 First International Conference of Intelligent Computing and Engineering (ICOICE), 2019With the great technological advances in colour printing, duplicating and scanning, counterfeit notes haves posed an increasing threat to currency markets all over the world. Over the past few years, the Yemeni currency market has suffered extensively from this problem.
Ghazi Alnowaini, Aisha Alabsi, Heba Ali
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Fake Currency Detection Using Image Processing System
International Research Journal on Advanced Engineering Hub (IRJAEH)Fake currency detection is a crucial task in financial security, preventing fraud and ensuring the authenticity of banknotes. This project utilizes image processing techniques to detect counterfeit currency by analyzing various security features such as ...
Rohini J, Deeksha R, Mohammed Afsal PK
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Counterfeit Currency Detection: Leveraging Image Processing and Machine Learning Techniques
International Journal for Sciences and TechnologyAdvanced detection techniques are necessary to stop fraudulent transactions because counterfeit currency continues to pose a danger to financial security.
Khushi Patil +3 more
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BD Currency Detection: A CNN Based Approach with Mobile App Integration
arXiv.orgCurrency recognition plays a vital role in banking, commerce, and assistive technology for visually impaired individuals. Traditional methods, such as manual verification and optical scanning, often suffer from limitations in accuracy and efficiency ...
Syed Jubayer Jaman +3 more
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Counterfeit Buster: Indian Currency Detection Using Generative Adversarial Networks
International Journal for Research in Applied Science and Engineering TechnologyCounterfeit currency undermines financial trust and economic stability, particularly in cash- dependent regions. As counterfeiters adopt increasingly sophisticated techniques, forged notes can evade visual inspection, rendering traditional detection ...
Hrutali Dhawade
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Fake Indian Currency Detection Using Deep Learning
International Journal For Multidisciplinary ResearchThe system leverages intrinsic security features of currency notes such as watermarks, security threads, micro-text, and serial numbers, which serve as unique identifiers to distinguish genuine notes from counterfeit ones.
Deekshtha K +2 more
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Currency Detection and Counting Assistance for Visually Challenged
2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)The suggested Currency Identification and Counting Assistance system offers worthwhile solutions to current severe challenges which impact visually impaired users in currency identification and counting operations.
J. J +3 more
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Fake Currency Detection Using Image Processing and Random Forest Algorithm
Recent Trends in Artificial Intelligence & its Applications, 2023It became relatively easy to make counterfeit currency as technology advanced, such as colour printing. Counterfeit notes are produced so precisely that it's impossible to tell the difference between a genuine and a fake.
Priya Shelke +4 more
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Proposed Solution for Currency Classification and Fake Currency Detection Using Machine Learning
2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL)The rapid advancement of digital technologies has greatly impacted financial systems, creating challenges in accurately classifying currencies and detecting counterfeits in various real-world scenarios.
D. B. .Narale +3 more
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Extensive Analysis of IoT Assisted Fake Currency Detection using Novel Learning Scheme
2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023A person with normal vision can readily read and differentiate between different banknotes, while a person with visual impairment or blindness would have a far more difficult time doing the same. Any person who is blind or visually impaired must have the
K. Sundravadivelu +4 more
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