• C.KIRUTHIGADEVI M.Sc
• G. RAJA RAJA CHOLAN M.C.A., M.Tech. M.Phil.,(Ph.D)

Fake currency is an impersonation of currency created without the lawful authorize of the government or any state. Delivering or utilizing fake currency is a type of falsification or fraudulent activity. In recent years, the immense innovative advancements in printing, shading, copying and examining leads to the issues of the fake currency that have turned out to be increasingly genuine. A lot of illegal counterfeiting fake note currency is printed and at the same time manufacturers and sellers of fake currencies has been increased as well, which have caused great loss, damage and unbalanced economy of our society. Thus it is imperative to be able to detect fake currency using existing systems as they are not accurate and costly. In this paper, proposed a new approach to spot fake Indian notes using their images. A currency image is scanned and processed using a hybrid approach called improved image processing technique. Based on certain features and characteristics of the currency, the matched key points between the two images can be recognized in an efficient manner. By the acquisition of image from real-time, feature extraction is applied to extract the needed feature. After the feature extraction, improved image processing technique is applied to predict the counterfeit currency.

Fake currency, fake currency detection, Artificial Neural Network, Support vector machine, currency image representation.

"An Efficient method to detect fake Indian currency using Artificial Neural Network and Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.432-437, June 2019, Available :http://www.jetir.org/papers/JETIR1907522.pdf

"An Efficient method to detect fake Indian currency using Artificial Neural Network and Support Vector Machine", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp432-437, June 2019, Available at : http://www.jetir.org/papers/JETIR1907522.pdf