A banknote authentication method based on random forest
A technology of random forest and banknotes, which is applied in the field of counterfeit banknotes based on random forests, can solve problems such as the limitation of identification results, the identification of unknown counterfeit currency and the weakness of new currency, and achieve security and reliability, high reliability classification, and improved performance effect
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[0041] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0042] Such as figure 1 , figure 2 Shown is an embodiment of the present invention.
[0043] The technical scheme of the embodiment is as follows: a banknote authentication method based on random forest, comprising the following steps:
[0044] S1. Feature extraction of banknote images:
[0045] Collect multispectral images of banknotes, intercept specific areas, and use SSIM method to obtain multiple identification indicators, and multiple identification indicators can be linearly combined to obtain n features required for the classification of genuine and counterfeit banknotes;
[0046] S2. Sample training:
[0047] According to the extracted features F1, F2, ..., Fn and the training samples of banknotes to be authenticated, the random forest method is used for training; a decision tree is created, and N samples and their responses are obtained ...
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