Counterfeit Currency Detection Using Machine Learning
DOI:
https://doi.org/10.32628/IJSRSET24113139Keywords:
Counterfeit Currency Detection, Indian Rupee, Image Processing, Convolutional Neural Networks, ResNet ArchitectureAbstract
Counterfeit currency detection is a critical aspect of maintaining financial integrity. This paper introduces an innovative methodology for identifying counterfeit Indian rupee notes. By employing advanced image processing techniques and Convolutional Neural Networks (CNNs), specifically ResNet architecture, the proposed system achieves impressive accuracy in distinguishing genuine from counterfeit banknotes. The dataset, meticulously compiled through a combination of web scraping and synthetic printing, ensures robust training and evaluation. Experimental findings underscore the efficacy of the ResNet-based approach, highlighting its superiority over traditional CNN models. This research contributes significantly to bolstering currency security and trust in financial transactions, offering practical insights for combating counterfeit currency challenges.
Downloads
References
Sanyal, S., Kaushik, A., & Gandhi, R. "Spurious Currency Detection using Machine Learning Techniques." 2024 International Conference on Automation and Computation (AUTOCOM) DOI: https://doi.org/10.1109/AUTOCOM60220.2024.10486135
P. S, S. C, V. Padmapriya, and S. Uma. "Sahayaka: A Fake Currency Detector Application for Visually Impaired Individuals." 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
Vivek Sharan, Amandeep Kaur, Parvinder Singh. "Identification of Counterfeit Indian Currency Note using Image Processing and Machine Learning Classifiers." Proceedings of the Third International Conference on Artificial Intelligence and Smart Energy (ICAIS 2023) DOI: https://doi.org/10.1109/ICAIS56108.2023.10073787
Kara, S. T., Loya, S., Raju, S. S., Vanteru, N., & Rajulapati, B. "Detection of Fake Indian Currency Using Deep Convolutional Neural Network." 2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon) DOI: https://doi.org/10.1109/MysuruCon59703.2023.10396993
Shinde, S., Wadhwa, L., Naik, S., Kudale, R., Sherje, N., & Mohnani, K. "Fake Currency Detection using Image Processing." 2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA) DOI: https://doi.org/10.1109/ICCUBEA58933.2023.10392045
Kumar, C. P., Yadav, M. G., Praneetha, K., Rushikesh, M., & Shreya, R. R. "Classification and Detection of Banknotes using Machine Learning." 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) DOI: https://doi.org/10.1109/ICIRCA57980.2023.10220876
Thennavan, S., Gokul, D., & Jayapalan, A. "Deep Learning Based Fake Stamp Detection." 2023 International Conference on Computer Communication and Informatics (ICCCI) DOI: https://doi.org/10.1109/ICCCI56745.2023.10128600
Sundravadivelu, K., Senthilvel, P. G., Duraimutharasan, N., Esther T, H. R., & Kumar. K, R. "Extensive Analysis of IoT Assisted Fake Currency Detection using Novel Learning Scheme." 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) DOI: https://doi.org/10.1109/ICAISS58487.2023.10250560
Shokeen, V., Kumar, S., Sharma, A., Singh, N., Prasad, A., & Sachdeva, Y. "Detection of Counterfeit Currency Notes Through Machine Learning Algorithms and Image Processing." 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS) DOI: https://doi.org/10.1109/ICTACS59847.2023.10390478
R.Sumalatha, B.Jayanth Reddy, T. Venkat Ram Reddy. "Identification of Fake Indian Currency using Convolutional Neural Network." Proceedings of the Sixth International Conference on Computing Methodologies and Communication (ICCMC 2022) DOI: https://doi.org/10.1109/ICCMC53470.2022.9754056
Sharma, M., Joshi, G., Singh, A., & Sharma, V. "Detection of Forged Currency Notes using Machine Learning Algorithms." Proceedings of the 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) DOI: https://doi.org/10.1109/CISES54857.2022.9844362
P. Ashok babu, P. Sridhar, Rajeev Ratna Vallabhuni. "Fake Currency Recognition System Using Edge Detection." Interdisciplinary Research in Technology and Management(IRTM) 2022 IEEE DOI: https://doi.org/10.1109/IRTM54583.2022.9791547
Upadhyaya, A., Shokeen, V., & Srivastava, G. "Analysis of Counterfeit Currency Detection Techniques for Classification Model." 2018 4th International Conference on Computing Communication and Automation (ICCCA) DOI: https://doi.org/10.1109/CCAA.2018.8777704
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
