Diarra, Aboudramane and Bissyande, Tegawendé F. and Poda, Pasteur (2023) A Deep Learning App for Counterfeit Banknote Detection in the WAEMU. In: Proceedings of the 5th edition of the Computer Science Research Days, JRI 2022, 24-26 November 2022, Ouagadougou, Burkina Faso.
![[thumbnail of 53804.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "53804.pdf")
PDF
53804.pdf
Download (1MB)
Abstract
In West Africa, counterfeit CFA banknotes impact the economic growth of states.
Because of this scourge, we are witnessing a decline in the purchasing power of the population.
However, some hardware kits for detecting counterfeit CFA banknotes are available on the market.
These kits are expensive fo
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:13 |
| Last Modified: | 17 Apr 2026 03:20 |
| URI: | http://eprints.eai.eu/id/eprint/42812 |
Actions (login required)
- View Item