Anti-counterfeit identification embedding method based on double encrypted channels
An anti-counterfeiting mark and encryption channel technology, applied in the field of anti-counterfeiting mark embedding based on double encryption channels, can solve the problems of anti-counterfeiting parameters that have been deciphered in reverse, weak anti-attack, no multi-layer encryption anti-counterfeiting method, etc. Copy the effects of attack resistance, strong attack resistance, and difficulty increase
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Embodiment 1
[0063] Provide a kind of anti-counterfeiting mark embedding method based on double encryption channel in this embodiment 1, comprise the following steps:
[0064] step 1),
[0065] Select the background image, the background image is a uniform image in the middle tone, such as figure 1 As shown (for the convenience of display and understanding, figure 1 is the grayscale image of the background image), convert the color mode of the background image to CMYK color mode, and decompose to obtain the image of the C channel, the image of the M channel, the image of the Y channel and the image of the K channel; the C channel and the M channel are encrypted channels, used to hide the anti-counterfeiting marks in these two channels, and the hidden anti-counterfeiting marks cannot be recognized by human eyes;
[0066] Step (2),
[0067] Set the number of screen lines and the screen angle of each channel for screen processing;
[0068] All 4 channels are screened with the same number ...
Embodiment 2
[0102] Provide a kind of anti-counterfeiting mark embedding method based on double encryption channel in this embodiment 2, comprise the following steps:
[0103] step 1),
[0104] Select the background image, the background image is an image with mid-tone and tone changes, such as Figure 4 As shown (for the convenience of display and understanding, Figure 4 is the grayscale image of the background image, Figure 4 Mainly present the texture structure of the background image), convert the color mode of the background image to CMYK color mode, and decompose the image of the C channel, the image of the M channel, the image of the Y channel and the image of the K channel; the C channel and the M channel are encrypted aisle;
[0105] Step (2),
[0106] Set the number of screen lines and the screen angle of each channel for screen processing;
[0107] The 4 channels all use the same number of screen lines for screening, and the number of screen lines is 169lpi;
[0108] The i...
Embodiment 3
[0142] In this embodiment 3, on the basis of embodiment 2, make the following difference: as Figure 9 As shown, different background images are selected and different anti-counterfeiting marks are hidden, and the rest of the parameters are the same.
[0143] With the C channel screened image, the M channel screened image, the Y channel screened image and the K channel screened image in the present embodiment 3, the background image screened image is obtained, and the structure similarity SSIM algorithm and the signal-to-noise ratio PSNR algorithm are adopted Respectively evaluate the similarity between the background image screened image in Example 3 and the background image with anti-counterfeiting marks hidden, and the calculation results obtained are shown in Table 3 below:
[0144] Table 3 Example 3 Anti-counterfeiting mark hidden performance evaluation results
[0145]
[0146] Among them, the value of SSIM is between 0 and 1. When the calculated value is closer to 1...
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