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2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC), 2019
Fake currency notes are increasing day by day, in order to overcome this we proposes a very helpful and efficient system to detect the fake currency. For detecting the fake currency note is done by counting the number of interruptions in the thread line. For predicting the note is real or fake on the basis of number of interruptions.
Arya S, Dr. M. Sasikumar
exaly +2 more sources
Fake currency notes are increasing day by day, in order to overcome this we proposes a very helpful and efficient system to detect the fake currency. For detecting the fake currency note is done by counting the number of interruptions in the thread line. For predicting the note is real or fake on the basis of number of interruptions.
Arya S, Dr. M. Sasikumar
exaly +2 more sources
Counterfeit Currency Detection using Deep Learning
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021Currency is the backbone of a country's economy and banknotes are the primary form of currency used in the Indian Economy. Counterfeit currency is an imitation of a real currency with an idea to deceive. With advancement in technology the practice of counterfeiting currency has become more refined and circulation of such counterfeit notes gives a huge ...
Surekha Dholay
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Counterfeit Currency Detection Techniques
2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2018The currency which is imitated with illegal sanction of state and government is counterfeit currency. Every country incorporates a number of security features for its currency security. Currency counterfeiting is always been a challenging term for financial system of any country.
Akanksha Upadhyaya +2 more
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Currency And Counterfeit Currency Detection Using Machine Learning Algorithms
2023 Global Conference on Information Technologies and Communications (GCITC), 2023Shashank Kumar Singh +2 more
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Currency Detection and Recognition Based on Deep Learning
2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2018In recent years, deep learning has become the most popular research direction. It mainly trains the dataset through neural networks. There are many different models that can be used in this research project. Throughout these models, accuracy of currency recognition can be improved.
Qian Zhang, Wei Qi Yan 0001
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Currency Counting Fake Note Detection
SSRN Electronic Journal, 2018Counterfeit notes are one of the biggest problem occurring in cash transactions. For country like India, it is becoming big hurdle. Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools.
Raj Shah +3 more
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Yemeni Paper Currency Detection System
2019 First International Conference of Intelligent Computing and Engineering (ICOICE), 2019With the great technological advances in colour printing, duplicating and scanning, counterfeit notes haves posed an increasing threat to currency markets all over the world. Over the past few years, the Yemeni currency market has suffered extensively from this problem.
Ghazi Alnowaini, Aisha Alabsi, Heba Ali
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Anomaly Detection in Crypto Currency
2023 3rd Intelligent Cybersecurity Conference (ICSC), 2023Ahmad Al-Omari +2 more
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A Neural Network Model for Currency Arbitrage Detection
2012The currency arbitrage detection is to find a proper currency conversion sequence that can make the most currency arbitrage. In this paper, the currency arbitrage detection is described as a energy function. And then a Lotka-Volterra (LV) recurrent neural network (RNN) is proposed to obtain the minimum points of the energy function.
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