Automatic identification method for anti-counterfeit labels based on ciphertext domain
An anti-counterfeiting label and automatic identification technology, applied in character and pattern recognition, secure communication through chaotic signals, encryption device with shift register/memory, etc., can solve the problems of less research on automatic identification algorithms of anti-counterfeiting labels, and achieve strong The effect of anti-conventional attack ability, broad market prospect and high practical value
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[0090] Below in conjunction with accompanying drawing, the present invention will be further described, and the simulation platform of use is Matlab2010a, selects a product anti-counterfeit label as original anti-counterfeit image ( figure 1 ), expressed as F(i,j), where 1≤i≤220, 1≤j≤76, and then encrypt it ( figure 2 ), expressed as E(i,j), and the corresponding DCT coefficient matrix is FD(i,j), where 1≤i≤220; 1≤j≤76. Considering the robustness, we take 32 coefficients, and get the feature vector according to the coefficients. After detecting V'(i,j) through the anti-counterfeiting algorithm, we can judge the authenticity of the product by calculating the normalized correlation coefficient NC (Normalized Cross Correlation).
[0091] Randomly select 100 sets of independent binary sequences with a sequence length of 32 bits (the value is +1 or -1), and then arbitrarily remove one of them from the data (here we choose the 50th group) as the embedded feature vector.
[0092...
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