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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

WJERT Citation

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Abstract

AN AUTOMATED RECOGNITION OF FAKE OR DESTROYED INDIAN CURRENCY NOTES (RESULT)

*Shaikh Ajij Amirsab and Mohammad Mudassir Mohammad Ismail

ABSTRACT

Automatic method for detection of fake currency note is very important in every country. In this project we have made fake currency note detection technique using MATLAB and feature extraction with HSV color space and other applications of image processing. In the project setup, note is placed in front of camera to check whether it is fake or genuine. The camera pictures of notes are analyzed by MATLAB program installed on computer. The project is meant to check Indian currency notes of 100, 500 and 1000 rupees. If the note is genuine, the respective message is appeared on the screen and vice-versa. The recognition system is composed of two parts. The captured image is first preprocessed by reducing data size and extracting its features by using image processing toolbox in MATLAB. The feature extraction is finished by considering HSV (Hue Saturation Value). The second step is recognition, in which the core is neural network classifier.

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