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Focus on differences in the paper material, printing-ink and printing technology between genuine banknotes and counterfeits, this paper presents a new method to identify the authenticity of banknotes based on the texture roughness. Firstly, we define the texture roughness parameters, and then extract these parameters from illumination transmission images of(More)
In order to solve the problem of betel nuts' misclassification by manual ways, an automatic classification method based on computer vision is proposed in this paper. The new method achieves automatic classification by extracting color features, shape features and texture features of betel nuts. Experiments show that this method has good effect, high speed(More)
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