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Journal of Cognitive Human-Computer Interaction
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Title

Detecting Counterfeit Currency with Image Processing

  Trupthi P. 1 * ,   Swarnalatha K. 2 ,   Prerana T. S. 3 ,   Sonu M. C. 4

1  Student, Department of Information Science and Engineering, Maharaja Institute of Technology Thandavpura, Mysore, India
    (trupthipgowda@gmail.com)

2  Department of Information Science and Engineering Maharaja Institute of Technology Thandavpura, Mysore, India
    (swarnapradyu@gmail.com)

3  Student, Department of Information Science and Engineering, Maharaja Institute of Technology Thandavpura, Mysore, India
    (tsprerana@gmail.com)

4  Student, Department of Information Science and Engineering, Maharaja Institute of Technology Thandavpura, Mysore, India
    (gwdasonu31@gmail.com)

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Doi   :   https://doi.org/10.54216/JCHCI.070204

Received: November 15, 2023 Revised: February 09, 2024 Accepted: April 02, 2024

Abstract :

"Detecting Counterfeit currency with Image Processing" focuses on leveraging image processing techniques to identify counterfeit currency. Currency plays a crucial role in economic transactions, functioning as a means of trade, standard measure of value, and reservoir of wealth. Ensuring the integrity of currency is crucial for maintaining trust in financial systems, preventing economic disruptions, and protecting individuals and businesses from financial losses. The need for currency detection arises in the situation of counterfeit activities, which pose serious threats to the stability of economy. Counterfeit currency can lead to financial fraud, loss of confidence in monetary systems, and can negatively impact businesses and individuals. By employing efficient image processing algorithms, this paper aims to enhance the accuracy and efficiency of counterfeit currency detection, providing a robust tool for financial institutions, businesses, and law enforcement agencies to safeguard against economic threats.

Keywords :

Counterfeit Currency Detection; Image Texture Analysis; Pattern Recognition Algorithms; Logical Regression Algorithm; Currency Integrity Assessment; Fraud Prevention through Image Analysis; Secure Imaging Techniques; Trust Assurance in Currency Systems; Feature Extraction for Currency Verification; Enhancing Economic Security

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Cite this Article as :
Style #
MLA Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C.. "Detecting Counterfeit Currency with Image Processing." Journal of Cognitive Human-Computer Interaction, Vol. 7, No. 2, 2024 ,PP. 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
APA Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C.. (2024). Detecting Counterfeit Currency with Image Processing. Journal of Journal of Cognitive Human-Computer Interaction, 7 ( 2 ), 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
Chicago Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C.. "Detecting Counterfeit Currency with Image Processing." Journal of Journal of Cognitive Human-Computer Interaction, 7 no. 2 (2024): 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
Harvard Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C.. (2024). Detecting Counterfeit Currency with Image Processing. Journal of Journal of Cognitive Human-Computer Interaction, 7 ( 2 ), 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
Vancouver Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C.. Detecting Counterfeit Currency with Image Processing. Journal of Journal of Cognitive Human-Computer Interaction, (2024); 7 ( 2 ): 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
IEEE Trupthi P., Swarnalatha K., Prerana T. S., Sonu M. C., Detecting Counterfeit Currency with Image Processing, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 7 , No. 2 , (2024) : 37-49 (Doi   :  https://doi.org/10.54216/JCHCI.070204)
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