Open Access
| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 9 | |
| Section | Smart Systems for Environmental Development | |
| DOI | https://doi.org/10.1051/e3sconf/202449102020 | |
| Published online | 21 February 2024 | |
- Prof Chetan More,MonuKumar, Rupesh Chandra, RaushanSingh, “Fake currency Detection using Basic Python Programming and Web Framework” IRJET International Research Journal of Engineering and Technology, Volume: 07 Issue: 04 Apr 2020 ISSN: 2395-0056. [Google Scholar]
- Vivek Sharan, Amandeep Kaur, ”Detection of Counterfeit Indian Currency Note Using Image Processing” International Journal of Engineering and Advanced Technology (IJEAT), Volume.09, Issue:01, ISSN: 2249-8958 (October 2019). [Google Scholar]
- Aakash S Patel, “Indian Paper currency detection” International Journal for Scientific Research & Development (IJSRD), Vol. 7, Issue 06, ISSN: 2321-0613 (June 2019). [Google Scholar]
- Ryutaro Kitagawa(2017) “Banknote portrait detection using Convolutional Neural Network (CNN)” 15th IAPR (International Conference on Machine Vision Applications), MVA 2017, ISBN (Electronic): 9784901122160. [Google Scholar]
- J.K. Nayak, C. Majhi, A. Srivastav, A. Das, “Neural Network Approach for Indian Currency Recognition”, IEEE, INDICON (2015). [Google Scholar]
- Aman Bhatia etal., “Fake Currency Detection with Machine Learning Algorithm and Image Processing”,2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). [Google Scholar]
- Ahmad Imam Rauyani,Muhammad Hamka,Subuh Pramono,”ROI based Indonesian Paper Currency Recognition Using Canny Edge Detection”, April 2020 Journal of Electrical Electronic Information and Communication Technology. [Google Scholar]
- Sushma R G, Nandeesha K, Shreeharsha S, Srinidhi G, Vijay Raj Gopal R, “Indian Currency Note Denomination Recognition and Validation”,4th National Conference on Design Innovations for 3Cs-“Compute-Communicate-Control”. [Google Scholar]
- S.Atchaya, K.Harini, G.Kaviarasi, B.Swathi, “Fake Currency Detection Using Image Processing”, special Issue Published in International Journal of Trend in Research and Development (IJTRD),ISSN: 2394-9333. [Google Scholar]
- Ashish Nagar, Dr. Manish Sharma, Sohit Agarwal, “Fake Currency Identification by Android Mobile Phone Using Digital Image Processing”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653. [Google Scholar]
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