Mohamad, Nur Syuhada and Hussin, Burairah and Shibghatullah, Abdul Samad and Hasan Basari, Abd Samad (2014) Banknote authentication using artificial neural network. International Symposium on Research in Innovation and Sustainability. pp. 1865-1868. ISSN 1013-5316
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Abstract
Counterfeit banknote is an imitation currency produced without the legal sanction of the state or government. This paper is focusing on how to classify the detection technique of counterfeit banknotes. The approach that will be implemented to solve this problem is by using the method of Artificial Neutral Network. In this research, the author prefers to use back-propagation training in Artificial Neural network. The instrumentation used, is the MATLAB’s GUI application that will be designed and developed to examine and identify the authentication of banknotes. The sample data was provided by the Center of Machine Learning and Intelligent System database. In the process to get the result, the author decides to classify this sample of banknotes data into training, testing and validation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | banknote, counterfeit, authentication, artificial neural network, back-propagation, Center of Machine Learning and Intelligent System database |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Industrial Computing |
| Depositing User: | Dr Abdul Samad Shibghatullah |
| Date Deposited: | 26 Jan 2015 08:33 |
| Last Modified: | 07 Jun 2023 11:58 |
| URI: | http://eprints.utem.edu.my/id/eprint/14103 |
| Statistic Details: | View Download Statistic |
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