Fake Currency Detection using Image Processing (Case Study Libyan Currency)
Abstract
Deferent methods have been developed to reduce use of money paper currency, among those methods saving money currency in magnetic card, in smart card or electronically. But still people uses money paper currency in vary places and this will encourage others to fake them. Fake currency detection is a process of finding the forgery currency and its in attention of all countries over the word. This paper presents an algorithm to detect fake currency among true one based on use of image processing. In the presented algorithm the currency image features are extracted using hu moments and used with two parameters (MSE and RMSE) to detect forgery from original currency.
Full text article
Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.