Download Deep Learning Approach For Ethiopian Banknote Denomination Classification and Fake Detection System PDF Free - Full Version
Download Deep Learning Approach For Ethiopian Banknote Denomination Classification and Fake Detection System by ['tilahun'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning Approach For Ethiopian Banknote Denomination Classification and Fake Detection System
This paper proposes a deep learning approach for classifying Ethiopian banknotes by denomination and detecting counterfeits. It uses a convolutional neural network (CNN) for feature extraction and a feedforward artificial neural network as a classifier. On testing with real banknote images, the system achieved 99.4% accuracy for denomination classification and 96% accuracy for counterfeit detection. The paper recommends further improving the model using more advanced CNN architectures and a larger dataset.
Detailed Information
| Author: | ['tilahun'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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