Authors :
Nimish Bodkhe; Deep Bodkhe; Ayush Tayade; Sarvesh Makode; Dr. Nikkoo Khalsa
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/2ye2w3x3
Scribd :
https://tinyurl.com/5yr4b36m
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR2080
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In today's digital age, the proliferation of
counterfeit currency poses a significant challenge to
financial institutions and businesses worldwide. The
detection and prevention of counterfeit currency
transactions require advanced technological solutions to
safeguard the integrity of financial systems. In our research,
we present a novel approach to tackle this problem by
leveraging image processing techniques. The proposed
system utilizes state-of-the-art image processing algorithms
to distinguish between fake and genuine currency notes
accurately. By analyzing various features such as texture,
color, and watermark patterns, our system can effectively
identify counterfeit currency notes with high precision.
Additionally, the system is capable of counting and
validating genuine currency notes, providing a
comprehensive solution for currency authentication and
management. The integration of image processing
technology into currency verification systems offers
numerous benefits, including enhanced accuracy, speed,
and reliability. Our research aims to contribute to the
development of robust and efficient solutions for combating
counterfeit currency fraud, thereby safeguarding the
integrity of financial transactions and promoting trust in
monetary systems.
Keywords :
Image Processing, Fake Currency Detection, Genuine Currency Detection, Counterfeit Currency Detection , Financial Security.
In today's digital age, the proliferation of
counterfeit currency poses a significant challenge to
financial institutions and businesses worldwide. The
detection and prevention of counterfeit currency
transactions require advanced technological solutions to
safeguard the integrity of financial systems. In our research,
we present a novel approach to tackle this problem by
leveraging image processing techniques. The proposed
system utilizes state-of-the-art image processing algorithms
to distinguish between fake and genuine currency notes
accurately. By analyzing various features such as texture,
color, and watermark patterns, our system can effectively
identify counterfeit currency notes with high precision.
Additionally, the system is capable of counting and
validating genuine currency notes, providing a
comprehensive solution for currency authentication and
management. The integration of image processing
technology into currency verification systems offers
numerous benefits, including enhanced accuracy, speed,
and reliability. Our research aims to contribute to the
development of robust and efficient solutions for combating
counterfeit currency fraud, thereby safeguarding the
integrity of financial transactions and promoting trust in
monetary systems.
Keywords :
Image Processing, Fake Currency Detection, Genuine Currency Detection, Counterfeit Currency Detection , Financial Security.
