SURF和FLANN在旋转变化中确定2016年印尼盾年排放量的面值

Adri Priadana, Ari Murdiyanto
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引用次数: 7

摘要

2016年12月,印尼银行(BI)正式推出2016年度排放印尼盾。随着科技的发展,买卖的过程不仅可以在人与人之间进行,而且可以在人与机器之间进行。此外,机器还必须能够读取和识别各种变型和旋转的标称钞票。这是因为人们可以把钱投到不同形状和旋转的机器里。本研究旨在应用和分析面额印尼盾纸币识别与SURF和FLANN方法的旋转变化的准确性水平。印尼盾纸币的识别测试以不同的旋转变化进行,即0、90、180和2700。所提出的识别方法具有100%的准确率。
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Metode SURF dan FLANN untuk Identifikasi Nominal Uang Kertas Rupiah Tahun Emisi 2016 pada Variasi Rotasi
In December 2016, Bank Indonesia (BI) officially launched the 2016 Year Emission Rupiah. With the development of technology, the process of buying and selling are not only possible between humans and humans, but humans with a machine. In addition, the machine must also be able to read and recognize the nominal banknotes in various variations of face and rotation. This is because humans can put money in machines with various variations of face and rotation. This study aims to apply and analyze the level of accuracy of nominal rupiah banknotes identification with the SURF and FLANN methods for rotation variation. Testing for identification of nominal rupiah banknotes is carried out with different rotation variations, namely 0o, 90o, 180o, and 270o. The proposed identification method provides 100% of accuracy.
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