Open AccessFORGERY DETECTION OF FAKE CURRENCY USING IMAGE DERIVATIVE BASED SEGMENTATION TECHNIQUE
Author(s) -
Rosy Mishra,
Rosan Patel,
Rukshar Bano,
Madhumita Pradhan
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i02.064
Subject(s) - artificial intelligence , computer vision , segmentation , image (mathematics) , computer science , currency , derivative (finance) , image segmentation , pattern recognition (psychology) , business , economics , monetary economics , finance
Fake currency is a threat to each country throughout the globe. This paper is centered to detect the fake currency use of the image segmentation technique. Fake foreign money aims in discovering the forgery currency. The first step in image processing is preprocessing of the image involve containing cropping smoothing and adjustment of the image. The second step contains the conversion of the image into a gray coloration image. The conversion is done after image segmentation. The features include removal and mitigation. In the last step, compare the image to the original or the forgery image. India is more vulnerable to this problem which is results in a big hurdle. The empirical simulation is carried out using Rupees 100, 500 note of Indian Currency. Keywords—Feature extraction, image processing, counterfeit currency, HSV.