Banknote forming mode inspection and identification method based on banknote printing pattern characteristics
A technology of printing patterns and identification methods, which is applied in the verification of the authenticity of banknotes, the processing of coins or valuable banknotes, character and pattern recognition, etc.
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Embodiment 1
[0102] According to the present invention, a banknote formation method inspection and identification method based on banknote printing pattern features comprises the steps of:
[0103] Step 1, collect texture image: take four different printing methods of inkjet, four-color, laser and mechanism (such as figure 1 Shown) k pieces of banknotes, collect the texture image sample data of each banknote under a certain optical magnification and a certain light source environment;
[0104] 1.1. Prepare k pieces of banknotes of four different printing methods (mechanism, spot color, four-color, inkjet) that have appeared so far, k≥10; 2, 3, 4 four labels: inkjet: 1, four-color: 2, laser: 3, mechanism: 4;
[0105] 1.2 Collect the texture image of the first banknote at an optical magnification of 16 times and use a backlight light source environment; the specific collection method is:
[0106] 1.2.1 Use industrial cameras and equipped with lenses and other equipment to collect texture i...
Embodiment 2
[0178] For the four kinds of banknotes of inkjet, four-color, laser and mechanism, set four labels respectively: inkjet: 1, four-color: 2, laser: 3, mechanism: 4; take these four kinds of banknotes, each The number k of banknotes exceeds 10;
[0179] (1) According to the method of embodiment 1 step 1.2-1.4, collect the texture image of each banknote in a certain optical magnification and a certain use light source environment in 4k paper banknotes of four different printing methods; The collected texture image data n≥100, get 4k*n texture image (640*480) sample data.
[0180] (2) Carry out data enhancement to each image sample data in the collected 4k*n texture images according to the method in embodiment 1 step 2;
[0181] (3) According to the method of step 3 of embodiment 1, the image feature extraction is carried out to the enhanced image sample data; the texture image collected under the optical magnification of 60 and using the ring light source environment is enhanced ...
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