Currency Recognition System Using Image Processing
In the last few years a great technological advances in color printing, duplicating and scanning, counterfeiting problems have become more serious. In past only authorized printing house has the ability to make currency paper, but now a days it is possible for anyone to print fake bank note with the help of modern technology such as computer, laser printer. Fake notes are burning questions in almost every country. Like others country Bangladesh has also hit really heard and has become a very acute problem. Therefore there is a need to design a currency recognition system that can easily make a difference between real and fake banknote and the process will time consuming. Our system describes an approach for verification of Bangladeshi currency banknotes. The currency will be verified by using image processing techniques. The approach consists of a number of components including image processing, image segmentation, feature extraction, comparing images. The system is designed by MATLAB. Image processing involves changing the nature of an image in order to improve its pictorial information for human interpretation. The image processing software is a collection of functions that extends the capability of the MATLAB numeric computing environment. The result will be whether currency is real or fake.
Authors
- Shoffan Saifullah (ORCID: https://orcid.org/0000-0001-6799-3834)
- Anikarahmanananna
- Hossain
- Zishan
Publication Details
- Published
- 2026-08-20
- DOI
- https://doi.org/10.13140/rg.2.2.26002.62404
- Citations
- 2
- Primary Topic
- Currency Recognition and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00