ARCHIVES

1. Aman Bhatia, Vansh Kedia,Anshul Shroff, Mayand Kumar, Bickey Kumar Shah, Aryan “Fake Currency Detection with Machine
Learning Algorithm and Image Processing” IEEE [2021]
2. Anju Yadav,Tarun Jain,Vivek Kumar Verma,Vipin Pal “Evaluation of Machine Learning Algorithms for the Detection of Fake Bank
Currency” IEEE [2021]
3. Dr. S. V. Viraktamath, Kshama Tallur, Rohan Bhadavankar, Vidya, “Review on Detection of Fake Currency using Image Processing
Techniques” IEEE [2021]
4. Vanajakshi, Veena, Yadhunandan, Sowjanya.U, Anitha “Detection of Counterfeit Indian Currency Note using Image Processing”Journal [2021]
5. Subhalaxmi Chakraborty, Soumyadip Banerjee, Biman Kumar Singha, SayaniGhati “Fake Note Detection using Machine Learning
Techniques” Journal [2021]
6. G.Hariharan , D.Elangovan “Proxy Notes Recognition And Eradication For Betterment Of The Society” Journal [2020]
7. Asfaw Shefraw Alene, Million Meshesha “Ethiopian Paper Currency Recognition System: An Optimal Feature Extraction” IEEE
[2019]
8. Kiran Kamble, Anuthi Bhansali, Pranali Satalgaonkar, Shruti Alagundgi “Counterfeit Currency Detection using Deep
Convolutional Neural Network” IEEE [2019]
9. Megha Jadhav,Yogesh kumar Sharma,G. M. Bhandari “Currency Identification and Forged Banknote Detection using Deep
Learning” Conference [2019]
10. Veling, Miss. Janhavi P. Sawal, Miss. Siddhi A. Bandekar, Mr. Tejas C. Patil, Mr. Aniket L. Sawant “Fake Indian Currency
Recognition System by using MATLAB” Journal [2019]
11. D. Shamika, A. Rajadhyaksha, G. Swapnil and Anjali Shetty “CNN based Counterfeit Indian Currency Recognition Using
Generative Adversarial Network.”, DOI Link: 10.1109/ICAIS50930. 2021.9395949.
12. Mr. M. Abishek, Mr. B. Kavin, Mr. and B. Raj Kumaran, ECE Department, Bannari Amman Institute of Technology, Tamil Nadu,
“FAKE CURRENCY DETECTION USING CNN”, “India vol: 07, Issue: 03, March 2020.
13. K. Kiran, B. Anuthi, S. Pranali and A. Shruti, “Counterfeit Currency Detection using Deep Convolutional Neural Network” MIT
World Peace University, Pune, India, Dec 18-20, 2019.
14. Z. Adiba, U. Jia, "A Hybrid Fake Banknote Detection Model using OCR, Face Recognition and Hough Features”, Cybersecurity
and Cyberforensics Conference (CCC), 2019.
15. K. Gautam, "Indian Currency Detection using Image Recognition Technique", 2020 International Conference on Computer Science,
Engineering and Applications (ICCSEA), 2020.
16. Singh, S., Aggarwal, A.K., Ramesh, P., Nelson, L., Damodharan, P. and Pandian, M.T., 2022, August. COVID 19: Identification of
Masked Face using CNN Architecture. In 2022 3rd International Conference on Electronics and Sustainable Communication
Systems (ICESC) (pp. 1045-1051). IEEE.
17. Raju S. S., Srikanth M., Guravaiah K., Pandiyaan P., Teja B. and Tarun K. S., (2023), A Three-Dimensional Approach for Stock
Prediction Using AI/ML Algorithms: A Review & Comparison, IEEE 4th International Conference on Innovative Trends in
Information Technology (ICITIIT), Kottayam, India, (pp. 1-6).
18. D. Alekhya, G. Devisuryaprabha, and G. Venkatadurgarao, "Fake Currency Detection Using Image Processing and Other Standard
Methods,” Int. J. Res. Comput. Commun. Technol. ISSN, vol. 3, no. 1, pp. 2278–5841, 2014.
19. H. Hassanpour, A. Yaseri and G. Ardeshirı “Feature Extraction for Paper Currency Recognitionll”, IEEE Transactions, 1-4244-
0779- 6/07,2007.