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首页> 外文会议>International Seminar on Intelligent Technology and Its Applications >Ultraviolet Rupiah Currency Image Recognition using Gabor Wavelet
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Ultraviolet Rupiah Currency Image Recognition using Gabor Wavelet

机译：Gabor小波的紫外印尼盾货币图像识别

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摘要

A good accuracy and certainty paper currency recognition has a great signification for banking system as well as for vending machines. In this paper we propose an ultraviolet (UV) Rupiah paper currency image recognition by implementing Gabor wavelet feature extraction. The UV image is used to distinguish between a genuine and a fake paper image currency, since under UV light a different visual in specific areas of the real banknote will glow and show hidden patterns. To have a high accuracy as well as efficiency, we use 3 scales and 8 orientations Gabor bank and subspace-LDA classifier in recognition process. The proposed Gabor method has advantages of easiness and high accuracy. The experimental results demonstrate that this method is quite reasonable in terms of preciseness, with 98.5% overall average recognition rate are obtained for the data of 160 UV Rupiah paper currency images.
机译：良好的准确性和确定性，纸币识别对于银行系统和自动售货机具有重要意义。在本文中，我们提出了通过实现Gabor小波特征提取的紫外线（Rupiah）纸币图像识别。 UV图像用于区分真实和伪造的纸币图像，因为在UV光下，真实钞票特定区域的不同视觉效果会发光并显示出隐藏的图案。为了具有较高的准确性和效率，我们在识别过程中使用了3个尺度和8个方向的Gabor bank和subspace-LDA分类器。所提出的Gabor方法具有容易和高精度的优点。实验结果表明，该方法在精度上是相当合理的，对160张UV印尼盾纸币图像数据的总体平均识别率为98.5％。

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