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Paper Currency Detection based Image Processing Techniques: A review paper | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 10, Issue 1, 2018, Pages 1-8 PDF (0 K) | ||
| Authors | ||
| Shaimaa H. Shaker; Mohammed Gheni Alwan | ||
| Abstract | ||
| The currency has a great meaning in everyday life. Thus currency recognition has gained a great interest for many researchers. The researchers have suggested diverse approaches to improve currency recognition. Based on strong literature survey, image processing can be considered as the most widespread and effective technique of currency recognition. This paper introduces some close related works of paper-currency recognition. This paper has explained a variety of different currency recognition systems. The applications have used the power of computing to differentiate between different types of currencies with the appropriate layer. Choosing the proper feature would improve overall system performance. The main goal of this work is to compare previous papers and literatures through reviews these literatures and identify the advantages and disadvantage for each method in these literatures. The results were summarized in a comparison table that presented different ways of reviewing the technology used in image processing to distinguish currency papers. | ||
| Keywords | ||
| Currency recognition; Digital image processing; classifier; distinguish banknotes | ||
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