Current Trends in Signal Processing Review Article

Countering Counterfeiting: Global Challenges and Technological Advances

  1. Liman Harshada Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering,
  2. Shikalgar Arbaj Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering,
  3. Chavan Aditya Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering,
  4. Navnath. S. Govekar Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering,

Abstract

Fake notes are a global issue. Indian is only one among several. Anyone may now print counterfeit notes thanks to advancements in technology. These notes are created without the state’s legal sanction, and the ongoing production of such notes could hurt a country’s economy. When counterfeit notes are created and distributed, ordinary people cannot identify the difference between real and phony money since they are identifiable by their physical qualities. The most serious issue confronting many countries, including India, is the identification of counterfeit money. Even with automatic machines in banks and other major organizations meant to discern between counterfeit currency notes, ordinary people struggle to do so. Edge detection, feature extraction, image segmentation, acquisition, grayscale conversion, and image comparison are some of the phases in the identification process.

Keywords

References (10)

  1. Asha Banu SM, Sandhya S, Sundari TV, Shri Ranjani PR. Detection of Indian Fake Currency using Image Processing. 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). 2022:695-699. doi:10.1109/icaiss55157.2022.10010580
  2. Desai S, Rajadhyaksha A, Shetty A, Gharat S. CNN based Counterfeit Indian Currency Recognition Using Generative Adversarial Network. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). 2021:626-631. doi:10.1109/icais50930.2021.9395949
  3. Bhatia A, Kedia V, Shroff A, Kumar M, Shah BK, Aryan. Fake Currency Detection with Machine Learning Algorithm and Image Processing. 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). 2021:755-760. doi:10.1109/iciccs51141.2021.9432274
  4. Colaco RM, Fernandes R, Reenaz, S S. Efficient Image Processing Technique for Authentication of Indian Paper Currency. 2021 International Conference on Computer Communication and Informatics (ICCCI). 2021:1-8. doi:10.1109/iccci50826.2021.9402428
  5. Rahman Sarker MF, Israfil Mahmud Raju M, Marouf AA, Hafiz R, Hossain SA, Hossain Khandker Protik M. Real-time Bangladeshi Currency Detection System for Visually Impaired Person. 2019 International Conference on Bangla Speech and Language Processing (ICBSLP). 2019:1-4. doi:10.1109/icbslp47725.2019.201518
  6. Babu PA, Sridhar P, Vallabhuni RR. Fake Currency Recognition System Using Edge Detection. 2022 Interdisciplinary Research in Technology and Management (IRTM). 2022:1-5. doi:10.1109/irtm54583.2022.9791547
  7. Darade SR, Gidveer GR. Automatic recognition of fake Indian currency note. 2016 International Conference on Electrical Power and Energy Systems (ICEPES). 2016:290-294. doi:10.1109/icepes.2016.7915945
  8. 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). 2023:1-6. doi:10.1109/iccubea58933.2023.10392045
  9. Patel S, Nargunde R, Shah C, Dholay S. Counterfeit Currency Detection using Deep Learning. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). 2021:1-5. doi:10.1109/icccnt51525.2021.9579873
  10. K. Gautam, "Indian Currency Detection using Image Recognition Technique," 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, 2020, pp. 1-5, doi:10.1109/ICCSEA49143.2020.913
Support