Fake Indian Currency Detection using Image Processing

Authors

  • Vishal Nandy, Sridhar NS, Prince Saji, Yashwanth Kumar MS, Mallikarjuna M

Abstract

This paper aims to detect counterfeit currency and output the result. The model accepts the image using a mobile camera. The features from the scanned image are extracted and are matched to a set of templates. When a match is found, the result is outputted if it was genuine or not. This paper uses four algorithms: image resizing, image filtering, sobel edge detection and template matching. Even though printing of fake currencies is illegal, counterfeit currencies are still being circulated in places with no means to verify the authenticity of currency. This project is based on the idea to prevent further circulation of illegal notes. The goal of this project is to detect fake, counterfeit notes. It also detects the denomination. It is done by following a set of steps in the same order.

Firstly, the image of the currency note is acquired from mobile phone (camera). Secondly, the acquired image is resized to or scaled down to the dimensions 500 x 300. This is followed by applying bilateral filter to remove noises in image. Then the features which define the authenticity of a currency note are detected by applying sobel operator. The features are matched with those of an authentic note, by applying correlation regression. Lastly, the features are identified and displayed if the note is authentic.

 Keywords: Fake currency, Counterfeit currency, fake currency detection, Template Matching, OpenCV, Bilateral filtering, Sobel Edge Detection, Image Resizing

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Published

2020-05-12

Issue

Section

Articles