Identification of Fake Indian Currency using Convolutional Neural Network | Python Final Year Project.
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📌Project Title: Identification of Fake Indian Currency using Convolutional Neural Network.
💡Implementation Code: Python.
🚀Algorithm / Model Used: Xception Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/.
IEEE Base paper Abstract:
The progression of shading printing innovation has expanded the rate of Fake currency copying notes on a large scale. Albeit electronic monetary exchanges are turning out to be more popular and the utilization of paper cash has been diminishing as of late, banknotes still remain in distribution attributable to their dependability and straight forwardness in use. Few years ago, the printing should be possible in a printing-houses, yet presently anybody can print a money paper with most extreme exactness utilizing a straightforward laser printer. As an outcome, the issue of duplicate currency rather than the authentic ones has been increases generally. India had reviled the problems like defilement and dark cash and fake of money notes is likewise a big issue to it. To handle this problem, a deep learning-based framework is proposed to identify the fake Indian currency. The MATLAB tool has been used to identify the fake currency. The outcome will classify whether the Indian currency note is Real or Fake.
REFERENCE:
R. Sumalatha, B. Jayanth Reddy, T. Venkat Ram Reddy, “Identification of Fake Indian Currency using Convolutional Neural Network”, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), IEEE Conference, 2022.
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