Currency Counting Fake Note Detection (2024)

See all articles by Raj Shah

Raj Shah

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Mayank Champaneri

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Pujan Sheth

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Vaishali Gaikwad (Mohite)

PhD Scholar, Pacific Academy of Higher Education & Research University, Udaipur, India

Abstract

Counterfeit notes are one of the biggest problem occurring in cash transactions. For country like India, it is becoming big hurdle. Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools. Detecting fake notes manually becomes time-consuming and untidy process hence there is need of automation techniques with which currency recognition process can be efficiently done. Many techniques have been proposed with the use of feature extraction with HSV color space and other applications of image processing. We have implemented a fake note detection unit with MATLAB algorithm. This paper is a based on the Image Processing and UV LED’s to give solution for fake currency problem.

Shah, Raj and champaneri, mayank and Sheth, Pujan and Gaikwad (Mohite), Vaishali, Currency Counting Fake Note Detection (October 30, 2018). Available at SSRN: https://ssrn.com/abstract=3275068 or http://dx.doi.org/10.2139/ssrn.3275068