A label transfer prevention method based on computer vision recognition
A computer vision, anti-transfer technology, applied in computer parts, computing, record carriers used by machines, etc., can solve the problems of high chip cost and inconvenient application, meet market demand, low-cost application requirements, and improve user experience. Effect
Active Publication Date: 2021-12-14
深圳纸芯科技有限公司
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Problems solved by technology
The disadvantages of this technology, in addition to the high cost of the chip itself, the inconvenience of application is also the reason why it has not been widely popularized in the mass anti-counterfeiting market.
For example, Android mobile phones can read third-party anti-counterfeiting chips on the market, but Apple mobile phones do not open this function.
Method used
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Embodiment 1
[0081] The label anti-transfer method based on computer vision recognition in the present embodiment comprises the following steps:
[0082] Step S1, label generation, the specific steps are as follows:
[0083] Step S10, generating a noise pattern;
[0084] First, for each label, a random and independent noise pattern is generated. Because this noise pattern must be used for identification and comparison in the later stage of the algorithm, and considering the interference that may be introduced by the resampling of the image by the mobile phone camera, the noise pattern should not be too small. The salient features in the noise pattern must withstand the impact of camera resampling.
[0085] For this, the present invention proposes a checkerboard-based noise generation method. The checkerboard noise generation method needs to first divide the image into grids, and each grid can be understood as a salient feature in the noise pattern. Such as figure 1 As shown, the patte...
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The invention discloses a label transfer prevention method based on computer vision recognition, which includes generating an original noise pattern; generating a polar coordinate noise pattern after performing polar coordinate conversion; combining the polar coordinate noise pattern into an external defined in a preset label template Inside the circle; according to the combined pattern, print the polar coordinate noise pattern and the label template on a label paper at the same time to obtain a label; when pasting the label, hollow out the area between the polar coordinate noise pattern and the outer circle in the label template; obtain the combination Pattern authenticity parameters; capture the polar coordinate noise pattern, inverse transform the polar coordinate noise pattern to obtain the inverse transform noise pattern; judge whether the inverse transform noise pattern is the same as the original noise pattern, and perform external attack detection on the tag; judge the inverse transform Whether the LBP value of the noise pattern is the same as the LBP value of the original noise pattern, and then determine whether the label is true or false. The invention has stronger anti-transfer performance, helps to reduce production costs and improves user experience.
Description
technical field [0001] The invention relates to a method for protecting an anti-counterfeit label, in particular to a method for preventing label transfer based on computer vision recognition. Background technique [0002] At present, counterfeit and shoddy goods are the public enemy of the whole people, causing heavy losses to consumers and enterprises. At present, the relatively new anti-counterfeiting means on the market are mainly divided into two basic forms: the first is material fingerprint anti-counterfeiting; the second is label anti-counterfeiting. As an emerging anti-counterfeiting method in recent years, material fingerprint anti-counterfeiting is a similar technology to our common face and fingerprint recognition. The fingerprint in the material fingerprint anti-counterfeiting refers to the characteristic texture of the appearance of the product. The material fingerprint anti-counterfeiting needs to collect and analyze the characteristic texture of the product ...
Claims
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IPC IPC(8): G06K19/06
CPCG06K19/06046G06K19/06037G06K19/06075
Inventor 何洋
Owner 深圳纸芯科技有限公司