| Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
|---|---|---|
| Article Number | 03047 | |
| Number of page(s) | 6 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20203203047 | |
| Published online | 29 July 2020 | |
Original vs Counterfeit Indian Currency Detection
1 Ramrao Adik Institute of Technology, Navi Mumbai, India
2 Ramrao Adik Institute of Technology, Navi Mumbai, India
3 Ramrao Adik Institute of Technology, Navi Mumbai, India
4 Ramrao Adik Institute of Technology, Navi Mumbai, India
* e-mail: anushkakulkarni997@gmail.com
** e-mail: prachikedar27@gmail.com
*** e-mail: ashpupala12@gmail.com
**** e-mail: priyanka.shingane@rait.ac.in
Currency is used to carry out not only business but also for various other transactions to get access to various services and commodities. There are a total of 7 denominations for the Indian currency each with unique features to distinguish them from each other and with various and distinct security features to prevent them from fraudulent copying. However,with the evolution of technology, there is also an increase in the ways in which fake forms of these currencies are created. These fake or counterfeit notes have various ill-effect on society. The proposed system will be used to check the genuine Indian currency notes and to find the denomination of the currency note. Comparative study for various image processing algorithms was conducted to identify and select the one which will be able to extract more prominent features,and is also better in terms of processing time,outlier rejection, efficiency in computation and in feature matching. After which a real time system is created for currency detection in real time.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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