• G.Balakrishnan
• M.Jeevitha

Abstract: Detection of counterfeit notes is the biggest dilemma by many countries including India. Indian is a developing country, Production, and printing of counterfeit notes of Rs.200 is degrading economic growth of our country. From the last few years due to technological advancement in color printing, duplicating, and scanning, counterfeiting problems are coming into the image. Though banks and other organizations have installed automatic machines to detect fake currency notes, it is not possible for the average person to detect the counterfeit note. In this article recognition of paper currency with the help of digital image processing techniques are described. Some of the methods to detect counterfeit currency are image processing, image segmentation, security thread, latent image, and comparing images. This paper is an effort towards the security features Analysis of Indian currency that can be used for recognition and authentication of genuine currency notes using Image Processing in MATLAB.

Keywords: Counterfeiting, Image Acquisition, Security thread, Image Segmentation, Image Processing Techniques.

"Detection of counterfeit Indian currency note utilizing image processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.78-82, September-2020, Available :http://www.jetir.org/papers/JETIR2009310.pdf

"Detection of counterfeit Indian currency note utilizing image processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp78-82, September-2020, Available at : http://www.jetir.org/papers/JETIR2009310.pdf