A serially arranged, disordered anti-counterfeiting code system

Abstract

This invention discloses a serially arranged, disordered anti-counterfeiting hidden code system, relating to the field of anti-counterfeiting hidden code technology. The hidden code system includes a generation system and an identification system. The generation system includes an identification code, which is generated by a host computer and contains product information. The identification system reads the entered product information. The identification code and product information contained in the generation system are converted into a dot matrix image code using a host computer's encoding and decoding algorithm. The identification system includes code recognition software. This serially arranged, disordered anti-counterfeiting hidden code system mixes a dot matrix image code containing product information with a hidden code, concatenates them, and then scrambles them before storing them in a code pattern library. Combined with a conventional QR code, it forms an anti-counterfeiting hidden code. The hidden code dots, processed with invisible ink, cannot be counterfeited through printing and can only be read and recognized by code readers in stores and manufacturers, thus achieving the anti-counterfeiting effect.

Description

Technical Field

[0001] This invention relates to the field of anti-counterfeiting hidden code technology, specifically to an anti-counterfeiting hidden code system with serially arranged disordered codes. Background Technology

[0002] Anti-counterfeiting hidden codes are anti-counterfeiting labels printed on product packaging using special processes. They achieve product anti-counterfeiting and anti-counterfeiting management in a concealed manner. This technology processes digital information into miniature, unique dot matrix image systems using special methods and encryption algorithms, making the digital code invisible under normal circumstances. It can only be revealed and read under special lighting or equipment, thus increasing the difficulty of counterfeiting.

[0003] The invention disclosed in announcement number CN105243544A is an anti-counterfeiting method for ultra-fine short fibers, which includes setting ultra-fine short fibers forming ultra-fine dots / lines on the code, magnifying and photographing the ultra-fine short fibers to obtain an archival photo, storing the archival photo in the database of a computer anti-counterfeiting query network system; the public uses a camera phone to photograph the ultra-fine short fibers to obtain a photo to be inspected, and comparing the distribution characteristics and aspect ratio of the ultra-fine short fibers in the photo to be inspected with the distribution characteristics and aspect ratio of the ultra-fine short fibers in the archival photo to distinguish authenticity.

[0004] The utility model with announcement number CN204833342U discloses a serrated code anti-counterfeiting printed material. The public can use the mobile phone camera function to take a picture of the code and / or text and images on the substrate in macro mode, and then enlarge the picture to observe whether its personalized serrated edge matches the serrated edge feature picture retrieved (browsed) to identify authenticity, without the need for a special magnifying glass.

[0005] However, the aforementioned publicly disclosed anti-counterfeiting identification codes still have the following problems in actual use: anti-counterfeiting identification is achieved by changing the shape and aspect ratio of the code dots and bars, but such anti-counterfeiting codes can be printed and counterfeited by replacing industrial-grade printing equipment. The code dots and bars achieved by changing the aspect ratio and shape can be copied, and can be compared with the original version in the library without difference. Therefore, the anti-counterfeiting effect is not good and it does not have the uniqueness of anti-counterfeiting code identification.

[0006] Therefore, we propose a serially arranged, disordered anti-counterfeiting hidden code system to solve the problems mentioned above. Summary of the Invention

[0007] The purpose of this invention is to provide a serially arranged, disordered anti-counterfeiting hidden code system to solve the problem that existing anti-counterfeiting identification methods rely on changing the shape and aspect ratio of code dots and bars. However, such anti-counterfeiting codes can be copied by replacing industrial-grade printing equipment. The code dots and bars achieved by changing the aspect ratio and shape can be replicated, and can be compared with the original in the library without difference. Therefore, the anti-counterfeiting effect is not good and the anti-counterfeiting code does not have unique identification.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a serially arranged, disordered anti-counterfeiting hidden code system, wherein the hidden code system includes a generation system and an identification system;

[0009] The generation system includes an identification code, which is generated by the host and contains product information. The identification system reads the entered product information.

[0010] The identification code and product information contained in the generation system are converted into dot matrix image codes by the host's encoding and decoding algorithm.

[0011] The identification system includes code recognition software, which is installed and used in the relevant stores and manufacturers. The code recognition software scans and identifies anti-counterfeiting hidden codes using a specific wavelength.

[0012] Preferably, the generation system includes a stealth code, which is invisible under normal light by using invisible ink. The stealth code is intertwined with the dot matrix image code converted by the encoding and decoding algorithm. Furthermore, the stealth code cannot be recognized by a conventional barcode scanner, and the stealth code and invisible ink cannot be copied.

[0013] Preferably, the initial positions of the dot matrix image code and the invisible code included in the generation system are entered through a code pattern library, and the product information associated with the dot matrix image code and the invisible code is unique.

[0014] Preferably, after the dot matrix image code and the hidden code included in the generation system are entered into the code pattern library, the host algorithm breaks down the processed dot matrix image code and the hidden code, and the dot matrix image code and the hidden code form a random image code, and the random image code is combined with specified patterns, images and symbols according to requirements.

[0015] Preferably, the combination of random image code and invisible code included in the generation system is again entered into the code pattern library, so that the combination of random image code and invisible code after scrambling is also unique, avoiding product information conflicts. In addition, the code points of the random image code are connected in series through the code pattern library, and the code points of the random image code are verified and restored to ensure that they can be matched with the dot matrix image code.

[0016] Preferably, the generation system includes a conventional QR code generated by the host, and the conventional QR code and the random image code after input and verification are mixed together, and the random image code mixed inside the conventional QR code cannot be recognized by a conventional barcode scanner.

[0017] Preferably, the pseudo-hidden code points included in the generation system are provided with code shape positions through a hidden code library, and are mixed with the code points of regular QR codes in a way that is not completely occluded, can be interleaved, and are distributed vertically, thereby changing the occlusion area and coverage area of ​​the pseudo-hidden code points by the code points of regular QR codes.

[0018] Preferably, the generation system mixes the code points of conventional QR codes and random image codes by adjusting their size and color intensity, and incorporates camouflage information into the code points of conventional QR codes to form anti-counterfeiting hidden codes, thereby achieving the purpose of confusing counterfeiters.

[0019] Preferably, the identification system includes code recognition software that is interconnected with the code pattern library, and the code recognition software identifies anti-counterfeiting hidden codes, matching the code points contained in the anti-counterfeiting hidden codes with dot matrix image codes and random image codes in the code pattern library through an algorithm.

[0020] Preferably, the identification system includes a code recognition software that uses a specific wavelength to identify the location of the fake hidden code in the anti-counterfeiting hidden code, its connection relationship with the regular QR code, and its distribution status. Ordinary code recognizers cannot emit a specific wavelength to identify the hidden code, and once the hidden code is unrecognizable, it cannot be counterfeited through piracy.

[0021] Compared with existing technologies, the beneficial effects of this invention are as follows: This serially arranged, disordered anti-counterfeiting hidden code system mixes dot matrix image codes containing product information with hidden codes, serializes them, and then scrambles them before storing them in a code pattern library. Combined with conventional QR codes, it forms an anti-counterfeiting hidden code. The hidden code dots processed with invisible ink in the anti-counterfeiting hidden code cannot be counterfeited through printing; they can only be read and identified by code readers in stores and factories, thus achieving the anti-counterfeiting effect. The specific details are as follows:

[0022] 1. The host generates an identification code containing product information. The identification code is generated into a dot matrix image code through an encoding and decoding algorithm. The code dot positions of the hidden code are inserted into the dot matrix image code, so that the dot matrix image code and the hidden code are mixed together. After the position information is concatenated by the host, it is stored in the code pattern library.

[0023] Furthermore, the entered dot matrix image code and the invisible code are scrambled by the host. The shape of the random image code can be a combination of specified patterns, images, and symbols as needed. Then, the host algorithm records the concatenation position of the scrambled dot matrix image code and the invisible code, verifies and restores the random image code to ensure that it can match the dot matrix image code. At the same time, the host generates a regular QR code that matches the shape of the random image code, thereby hiding the random image code.

[0024] 2. A mixture of regular QR codes and random image codes is used. The QR code dots can be interspersed with the invisible code dots, but they are not completely obscured. The vertical position of the invisible code dots relative to the QR code dots can be changed as needed. The random image codes are mixed by changing the size and color intensity of the serialized code dots.

[0025] 3. The identification system distinguishes between regular scanners and barcode scanners installed in stores and factories. Regular scanners can only identify regular QR codes in anti-counterfeiting hidden codes during the scanning process, and may read incorrect or irrelevant product information.

[0026] Furthermore, while the anti-counterfeiting hidden code can be counterfeited through printing, the random image code contained in the anti-counterfeiting hidden code and the regular QR code can be counterfeited through printing. However, the color depth of the code points that make up the random image code cannot be counterfeited through printing. At the same time, the invisible code points processed with invisible ink in the anti-counterfeiting hidden code cannot be counterfeited through printing. Therefore, it cannot be read and identified by the code readers of stores and manufacturers, so as to achieve the anti-counterfeiting effect. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the anti-counterfeiting hidden code generation system of the present invention;

[0028] Figure 2 This is a schematic diagram illustrating the process of mixing random image codes and conventional QR codes according to the present invention.

[0029] Figure 3 This is a flowchart illustrating the anti-counterfeiting hidden code recognition system of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Please see Figures 1-3 The present invention provides the following technical solution:

[0032] Example 1: To address the problem that existing anti-counterfeiting hidden codes can be counterfeited and printed, this example discloses the following technical solution: a serially arranged, disordered anti-counterfeiting hidden code system. The hidden code system includes a generation system and an identification system. The generation system includes an identification code, which is generated by a host computer and contains product information. The identification system reads the entered product information. The identification code and product information contained in the generation system are converted into a dot matrix image code by the host computer's encoding and decoding algorithm. The generation system also includes a hidden code, which is invisible under normal light using invisible ink. The hidden code and the dot matrix image code converted by the encoding and decoding algorithm are intertwined, and the hidden code cannot be recognized by a conventional barcode scanner. Furthermore, the hidden code and the invisible ink cannot be counterfeited by photocopying.

[0033] The initial positions of the dot matrix image codes and invisible codes in the generation system are entered through a code pattern library, and the product information associated with the dot matrix image codes and invisible codes is unique. After the dot matrix image codes and invisible codes in the generation system are entered into the code pattern library, the host algorithm scrambles the processed dot matrix image codes and invisible codes, forming random image codes. The random image codes are then combined with specified patterns, images, and symbols according to requirements. The combination of random image codes and invisible codes in the generation system is again entered into the code pattern library, ensuring that the combination of random image codes and invisible codes after scrambling is also unique, avoiding product information conflicts. Furthermore, the code points of the random image codes are concatenated through the code pattern library, and the code points of the random image codes are verified and restored to ensure that they can match the dot matrix image codes.

[0034] like Figure 1 As shown, during the generation process of the anti-counterfeiting hidden code, product information is first entered into the identification code generated by the host, and the host then uses an encoding and decoding algorithm to generate a dot matrix image code from the identification code. The dot matrix image code can be mixed with a regular QR code. At the same time, some code dots in the dot matrix image code are replaced by the host, and the positions of the replaced code dots are marked. The positions of the replaced code dots are also entered into the code dots of the hidden code, so that the positions of some dot matrix image codes can be replaced by the hidden code.

[0035] Furthermore, after the dot matrix image code is mixed with the invisible code, it is entered into the code pattern library by the host computer. The host computer concatenates the positions between the dot matrix image code and the invisible code, and then breaks down the dot matrix image code and the invisible code to form a random image code. The shape of the random image code can be a combination of specified patterns, images, and symbols as needed, so that it can be entered again by the host computer to verify and restore the random image code to ensure that it can match the dot matrix image code. At the same time, the host computer generates a matching QR code based on the shape of the random image code for mixing and generation.

[0036] Example 2: To address the problem that existing anti-counterfeiting hidden codes can be counterfeited and printed, this example discloses the following technical solution: The generation system includes a conventional QR code generated by a host computer, and the conventional QR code is mixed with a randomly generated image code after verification. The random image code mixed within the conventional QR code cannot be recognized by a conventional barcode scanner. The code points of the pseudo-hidden code included in the generation system are provided with code shape positions through a hidden code library, and are mixed with the code points of the conventional QR code in a way that is not completely obscured, can be interleaved, and distributed vertically. The code points of the conventional QR code change the obscuring area and coverage area of ​​the code points of the pseudo-hidden code. The code points of the conventional QR code and the code points of the random image code included in the generation system are mixed by size and color depth, and camouflage information is entered into the code points of the conventional QR code to form an anti-counterfeiting hidden code, thereby achieving the means of confusing counterfeiting.

[0037] like Figure 2 As shown, the code points of a regular QR code are mixed with random image codes. The regular QR code is not contained in the location area of ​​the random image code code points. The code points of a regular QR code can be identified by a regular reader, but the random image codes hidden inside cannot be identified by a regular reader. At the same time, disguise information can also be recorded in the regular QR code to form an anti-counterfeiting hidden code, thereby achieving the effect of confusing counterfeiters.

[0038] Furthermore, the code points of the regular QR code and the code points of the hidden code can be generated in an interleaved manner, so that the code points of the hidden code are not completely obscured by the code points of the QR code, and the vertical position of the code points of the hidden code relative to the code points of the QR code can be changed as needed; the random image code is mixed by changing the size and color intensity of the serialized code points.

[0039] Example 3: To address the problem that existing anti-counterfeiting hidden codes can be counterfeited and printed, this example discloses the following technical solution: The identification system includes code recognition software, which is installed and used in the relevant stores and manufacturers. The code recognition software scans and identifies the anti-counterfeiting hidden codes using a specific wavelength. The code recognition software in the identification system is interconnected with a code pattern library, and the software identifies the anti-counterfeiting hidden codes by matching the code points contained in the hidden codes with dot matrix image codes and random image codes in the code pattern library using an algorithm. The code recognition software in the identification system identifies the position of the pseudo-hidden codes in the anti-counterfeiting hidden codes, their connection relationship with regular QR codes, and their distribution status using a specific wavelength. Ordinary code readers cannot emit specific wavelengths to identify hidden codes, and once the hidden codes are unrecognizable, they cannot be counterfeited through piracy.

[0040] like Figure 3As shown, the hidden code contained in the anti-counterfeiting code is identified by the code recognition software set up in stores and factories, so that the reader with a specific wavelength can read the location, size, shape, position relative to the random image code, the vertical position relative to the regular QR code dot, and the covered area of ​​the hidden code. Moreover, the hidden code cannot be read by a regular barcode scanner, thus avoiding counterfeiting methods such as photocopying.

[0041] Furthermore, the position of the hidden code dot in the anti-counterfeiting hidden code appears blank to the naked eye and under the recognition of ordinary recognition devices. However, the code recognition software of stores and manufacturers compares the hidden code with the random image code after recognizing it in the database. The hidden code and the random image code are then concatenated and recombined through cloud algorithms, and then compared with the dot matrix image code recorded in the code pattern library in order to achieve the anti-counterfeiting effect.

[0042] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A serially arranged, randomly ordered anti-counterfeiting hidden code system, characterized in that, A cryptic code system includes a generation system and a recognition system; The generation system includes an identification code, which is generated by the host and contains product information. The identification system reads the entered product information. The identification code and product information contained in the generation system are converted into dot matrix image codes by the host's encoding and decoding algorithm. The identification system includes code recognition software, which is installed and used in the relevant stores and manufacturers. The code recognition software scans and identifies anti-counterfeiting hidden codes using a specific wavelength. The initial positions of the dot matrix image code and the invisible code included in the generation system are entered through the code pattern library, and the product information associated with the dot matrix image code and the invisible code is unique. After the dot matrix image code and the hidden code contained in the generation system are entered into the code pattern library, the host algorithm will break down the processed dot matrix image code and the hidden code to form a random image code. The random image code will be combined with specified patterns, images and symbols according to the requirements. The combination of random image codes and hidden codes in the generation system is entered again through the code pattern library, so that the combination of random image codes and hidden codes after scrambling is also unique, avoiding product information conflicts. In addition, the code points of the random image codes are connected in series through the code pattern library, and the code points of the random image codes are verified and restored to ensure that they can be matched with the dot matrix image codes. The generation system mixes the code points of conventional QR codes and random image codes by adjusting their size and color intensity, and incorporates camouflage information into the code points of conventional QR codes to form anti-counterfeiting hidden codes, thereby achieving the purpose of confusing counterfeiters.

2. The anti-counterfeiting hidden code system with serially arranged disordered sequence according to claim 1, characterized in that: The generation system contains a stealth code, which is invisible under normal light by using invisible ink. The stealth code is mixed with the dot matrix image code converted by the encoding and decoding algorithm. The stealth code cannot be identified by a conventional barcode scanner, and the stealth code and invisible ink cannot be copied.

3. The anti-counterfeiting hidden code system with serially arranged disordered configuration according to claim 1, characterized in that: The generation system includes a regular QR code generated by the host, and the regular QR code and the random image code after input and verification are mixed together. The random image code mixed inside the regular QR code cannot be recognized by a regular barcode scanner.

4. The anti-counterfeiting hidden code system with serially arranged disordered configuration according to claim 3, characterized in that: The generation system includes pseudo-hidden code points whose code shape positions are provided by a hidden code library, and which are mixed with the code points of regular QR codes in a way that is not completely occluded, can be interleaved, and are distributed vertically. The occlusion area and coverage area of ​​the pseudo-hidden code points are changed by the code points of regular QR codes.

5. The anti-counterfeiting hidden code system with serially arranged disordered configuration according to claim 1, characterized in that: The identification system includes code recognition software that is interconnected with a code pattern library. The code recognition software identifies anti-counterfeiting hidden codes and matches the code points contained in the anti-counterfeiting hidden codes with dot matrix image codes and random image codes in the code pattern library using an algorithm.

6. The anti-counterfeiting hidden code system with serially arranged disordered configuration according to claim 5, characterized in that: The identification system includes a code recognition software that uses a specific wavelength to identify the location of the fake hidden code in the anti-counterfeiting hidden code, its connection relationship with the regular QR code, and its distribution status. Ordinary code readers cannot emit a specific wavelength to identify the hidden code, and once the hidden code is unrecognizable, it cannot be counterfeited through piracy.

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