Anti-counterfeit label and preparation method and verification method thereof

Abstract

The invention provides an anti-counterfeit label as well as a preparation method and a verification method thereof, and relates to the technical field of anti-counterfeit labels. Comprising a stickable sticker, a two-dimensional code and a fingerprint code are printed on the sticker, the fingerprint code comprises a specific color pattern, and the fingerprint code further comprises protruding textures which are hidden below the color pattern and protrude upwards. According to the anti-counterfeit label, the problem that an existing anti-counterfeit label is not suitable for part of people or part of environments due to the fact that the existing anti-counterfeit label depends on visual authenticity distinguishing is solved, the distinguishing modes of the anti-counterfeit label are enriched, the effect of improving the applicability is achieved, and a user can accurately distinguish the authenticity of the anti-counterfeit label.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-counterfeiting labels, and in particular, to an anti-counterfeiting label, a preparation method thereof, and a verification method thereof. Background Art

[0002] There is a kind of anti-counterfeiting label, including a sticker that can be pasted, on which a two-dimensional code and a fingerprint code are printed. The fingerprint code includes a specific color pattern. When verifying this anti-counterfeiting label, by scanning the two-dimensional code with a user terminal (such as a mobile phone), a parameter sequence is obtained. After inputting this parameter sequence into the verification system, the verification system will query the fingerprint code parameters corresponding to this parameter sequence according to the binding relationship. By inputting the fingerprint code parameters into a specific drawing program, a fingerprint code image is obtained and fed back to the user. Finally, the user visually compares the fed-back fingerprint code image with the color pattern on the sticker to distinguish the authenticity of the anti-counterfeiting label.

[0003] However, this discrimination method is extremely dependent on the user's vision. When the user's vision is affected, for example, when the user has eye diseases (such as red-green color blindness, cataract, etc.), the user often cannot accurately distinguish the authenticity of the anti-counterfeiting label through this discrimination method; another example is that when the light conditions are not good (such as the light is relatively dim, or the light is other colored light rather than white light), the user also cannot accurately distinguish the authenticity of the anti-counterfeiting label.

[0004] In view of the above problems, there is currently no effective technical solution. Summary of the Invention

[0005] The purpose of the present invention is to provide an anti-counterfeiting label, a preparation method thereof, and a verification method thereof, which solve the problem that the existing anti-counterfeiting label depends on visually distinguishing the authenticity and thus cannot be applied to some people or some environments, and achieve the effect of enriching the discrimination methods of the anti-counterfeiting label to improve the applicability, which is beneficial for users to accurately distinguish the authenticity of the anti-counterfeiting label.

[0006] In a first aspect, the present invention provides a verification method applied to an anti-counterfeiting label. The anti-counterfeiting label includes a sticker that can be pasted, on which a two-dimensional code and a fingerprint code are printed. The fingerprint code includes a specific color pattern and raised texture that is hidden under the color pattern and protrudes upward; The verification method includes the following steps: B1. A user terminal scans the two-dimensional code to obtain a first parameter sequence; B2. Input the first parameter sequence into the verification system and obtain a color verification pattern and a texture verification pattern after passing the verification; B3. Distinguish the authenticity of the anti-counterfeiting label through the color verification pattern and / or the texture verification pattern.

[0007] This method introduces tactile verification, greatly improving the reliability of verification. Even in the case of insufficient light or limited user vision, accurate verification can still be carried out through touch. In addition, the dual-verification mechanism also increases the difficulty of anti-counterfeiting and improves the security of the system.

[0008] Furthermore, the specific steps in step B3 include: B31. Identify the authenticity of the anti-counterfeiting label through any one or more of the following steps: B31A. Identify the authenticity of the anti-counterfeiting label by visually comparing the color verification pattern and the color pattern on the sticker; B31B. Identify the authenticity of the anti-counterfeiting label by tactilely comparing the texture verification pattern and the raised texture on the sticker.

[0009] Furthermore, the raised texture includes a magnetic body buried under the color pattern; a card that can be folded to cover the fingerprint code is provided on one side of the sticker close to the fingerprint code, and the card is filled with powder that can be adsorbed by the magnetic body, and the card is used to make the magnetic body visible through the powder when covering the fingerprint code; The steps for identifying the authenticity of the anti-counterfeiting label in step B31 also include: B31C. Cover the card on the fingerprint code and identify the authenticity of the anti-counterfeiting label by visually comparing the texture verification pattern and the powder form shown on the card.

[0010] In a second aspect, the present invention provides an anti-counterfeiting label, including a sticker that can be pasted, a two-dimensional code and a fingerprint code are printed on the sticker, the fingerprint code includes a specific color pattern, and the fingerprint code also includes a raised texture that is hidden under the color pattern and protrudes upward.

[0011] The anti-counterfeiting label of the present invention not only retains the method of identifying authenticity by visual comparison, but also adds the method of identifying authenticity by tactile comparison, enabling the anti-counterfeiting label to have more identification means, thus meeting more user requirements and environmental requirements, greatly improving its applicability and facilitating accurate identification of authenticity.

[0012] Furthermore, the raised texture includes a magnetic body buried under the color pattern; a card that can be folded to cover the fingerprint code is provided on one side of the sticker close to the fingerprint code, and the card is filled with powder that can be adsorbed and driven by the magnetic body, and the card is used to make the magnetic body visible through the powder when covering the fingerprint code.

[0013] By introducing tactile and magnetic verification, the reliability and applicability of the anti-counterfeiting label are greatly increased.

[0014] Further, the shape of the raised texture is any one or more of granular, strip-shaped, and block-shaped.

[0015] In a third aspect, the present invention provides a preparation method for preparing the above-mentioned anti-counterfeiting label, including the following steps: S1. Generate the two-dimensional code according to a specific first parameter sequence and print it on the sticker; S2. Obtain a second parameter sequence that has a unique corresponding relationship with the first parameter sequence; the second parameter sequence includes a feature code and a parameter code; S3. Determine the shape and position of the raised texture according to the feature code and set the raised texture in a preset area of the sticker; S4. Laminate a protective layer on the sticker and make the protective layer completely cover the raised texture; S5. Generate the color pattern according to the parameter code and print it on the preset area.

[0016] Effectively solves the problem that the existing anti-counterfeiting label verification method overly relies on the user's vision. By introducing the raised texture, this method provides users with an option of tactile verification and reduces the dependence on vision.

[0017] Further, the shape of the raised texture is granular; The specific steps in step S3 include: S31. Obtain a corresponding scatter plot according to the feature code; the scatter plot includes a plurality of first random points dispersed in the preset area; S32. Set the raised texture at each of the first random points.

[0018] Further, the feature code is obtained through the following steps: A1. Obtain a three-dimensional sphere model based on a spherical discrete point random generation algorithm; a plurality of second random points are dispersed on the surface of the three-dimensional sphere model; A2. Randomly generate the azimuth information of a virtual camera relative to the three-dimensional sphere model; the azimuth information includes the relative coordinates and relative distance of the virtual camera relative to the center of the sphere of the three-dimensional sphere model; A3. Generate a corresponding feature code according to the three-dimensional sphere model and the azimuth information; The specific steps in step S31 include: S311. Determine the corresponding three-dimensional sphere model according to the feature code and obtain the corresponding relative coordinates and relative distance; S312. Control the movement of the virtual camera according to the corresponding relative coordinates and relative distances, and after the virtual camera is in place, obtain the corresponding first - perspective image through the viewing window and use it as the corresponding scatter plot; the shape and size of the viewing window are the same as those of the preset area.

[0019] Further, the specific steps in step A3 include: A31. Control the movement of the virtual camera according to the corresponding relative coordinates and relative distances, and after the virtual camera is in place, obtain the corresponding second - perspective image through the viewing window; the second - perspective image contains a plurality of third random points arranged dispersedly. A32. Determine the processing range of each of the third random points in the second - perspective image; the processing range refers to the range enclosed by the circular boundary drawn with the third random point as the center and a preset radius. A33. When the processing ranges of any two of the third random points overlap, adjust the relative distance so that the processing ranges of all the third random points do not overlap. A34. When the processing range of any one of the third random points exceeds the viewing window, adjust the relative coordinates so that the processing ranges of all the third random points fall within the viewing window. A35. Generate the corresponding feature code according to the three - dimensional sphere model, the adjusted relative distance, and the adjusted relative coordinates.

[0020] As can be seen from the above, the anti - counterfeiting label provided by the present invention adds raised textures similar to relief designs on the basis of the color pattern. Such raised textures have the same specificity as the color pattern. Users can obtain the shape of the raised texture of the genuine product through the verification system and then make a comparison from the tactile level. Thus, the effect of being able to distinguish authenticity both visually and tactilely is achieved, avoiding the situation of relying only on visual discrimination, enriching the discrimination methods of anti - counterfeiting labels, broadening the application scope of anti - counterfeiting labels, meeting more user requirements and breaking through more environmental restrictions.

[0021] Other features and advantages of the present invention will be described in the subsequent description, and, in part, will become obvious from the description or can be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic structural diagram of an anti - counterfeiting label provided by an embodiment of the present invention.

[0023] Figure 2Schematic diagram of the structure when the card in the anti-counterfeiting label provided by the embodiment of the present invention folds and covers the fingerprint code.

[0024] Figure 3 Cross-sectional view of an anti-counterfeiting label provided by the embodiment of the present invention.

[0025] Figure 4 Flowchart of a preparation method provided by the embodiment of the present invention.

[0026] Figure 5 Flowchart of a verification method provided by the embodiment of the present invention.

[0027] Label description: 100, two-dimensional code; 200, fingerprint code; 210, color pattern; 220, raised texture; 221, magnetic body; 300, card. Specific embodiments

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Usually, the components of the embodiments of the present invention described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the present invention to be protected, but only represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0029] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0030] In the existing anti-counterfeiting label technology, stickers that can be pasted are usually used, on which two-dimensional codes and fingerprint codes are printed. The fingerprint code includes a specific color pattern for anti-counterfeiting verification. During the verification process, the user terminal scans the two-dimensional code to obtain a parameter sequence, and after inputting it into the verification system, the system queries the corresponding fingerprint code parameters according to the binding relationship, generates a fingerprint code image and feeds it back to the user. The user discriminates the authenticity of the anti-counterfeiting label by visually comparing the fed-back fingerprint code image and the color pattern on the sticker.

[0031] However, this anti-counterfeiting method overly relies on the user's visual ability and may lead to inaccurate discrimination results in some cases. For example, when users have visual impairments (such as red-green color blindness, cataracts, etc.), it is difficult to accurately identify the subtle differences in color patterns. In addition, in an environment with poor lighting conditions, such as dim light or interference from colored light sources, it will also affect the user's accurate judgment of color patterns. These factors may all lead to a significant reduction in the anti-counterfeiting effect and increase the risk of the circulation of counterfeit and shoddy products.

[0032] For example, under warm-toned lighting, certain colors may have visual deviations. In addition, the consumer group of some products may include older users, and this type of user may have varying degrees of vision problems, which further increases the difficulty of accurate discrimination.

[0033] In this case, the anti-counterfeiting method that only relies on visual comparison may lead to the following consequences: Firstly, the misjudgment rate may increase significantly, resulting in genuine products being mistaken for fakes or fakes being mistaken for genuine products, affecting brand reputation and consumer rights; Secondly, in order to improve the discrimination accuracy, the verification process may require more time and more professional equipment, reducing the practicality and popularity of the anti-counterfeiting system.

[0034] Thirdly, this limitation may be exploited by lawbreakers to create more difficult-to-discriminate counterfeits by imitating the visual effects.

[0035] Therefore, an anti-counterfeiting technology that does not completely rely on visual discrimination and can maintain high accuracy under various environmental conditions is particularly important. This is not only related to the protection of brand rights and interests, but also directly affects the interests of consumers and the maintenance of market order. Therefore, there is an urgent need for an innovative technical solution to overcome the limitations of existing anti-counterfeiting labels under visually restricted conditions and achieve a reliable and generally applicable anti-counterfeiting effect.

[0036] In response to this, referring to the attached Figure 1 , the present invention provides an anti-counterfeiting label, including a sticker that can be pasted. The sticker is printed with a two-dimensional code 100 and a fingerprint code 200. The fingerprint code 200 includes a specific color pattern 210, and the fingerprint code 200 further includes a raised texture 220 that is hidden under the color pattern 210 and protrudes upward.

[0037] Among them, the sticker that can be pasted refers to a thin sheet material with an adhesive back, which can be conveniently attached to various surfaces. Specifically, it can be made of materials such as polyethylene, polypropylene, or polyester, and the surface is coated with a pressure-sensitive adhesive.

[0038] Among them, the two-dimensional code refers to a matrix two-dimensional barcode that can store a large amount of information. Specifically, it can be implemented using standard formats such as QR code, Data Matrix, etc.

[0039] Among them, the fingerprint code refers to a unique graphical identifier that includes specific color patterns. Specifically, it can be implemented in ways such as multi-color stripes, dot matrices, or irregular graphics.

[0040] Among them, the raised texture refers to the tiny protrusion structure formed on the surface of the sticker. Specifically, it can be achieved by processes such as embossing, hot stamping, or 3D printing.

[0041] In this embodiment, a raised texture that is hidden under the color pattern and protrudes upward is introduced into the fingerprint code. This design ingeniously combines two anti-counterfeiting methods, visual and tactile, breaking through the limitation of traditional anti-counterfeiting labels that rely solely on visual discrimination. The existence of the raised texture enables the authenticity of the anti-counterfeiting label to be identified by touch even under limited vision conditions, thereby improving the reliability and applicability of the anti-counterfeiting effect.

[0042] The anti-counterfeiting label of this application uses a pasteable sticker as the basic carrier, and a two-dimensional code and a fingerprint code are printed on the sticker. The two-dimensional code adopts the standard matrix two-dimensional bar code format for storing and quickly reading anti-counterfeiting information. The fingerprint code contains two key elements: specific color patterns and raised textures.

[0043] The color pattern is directly printed on the surface of the sticker through a precise printing process and can be in the form of multi-color stripes, dot matrices, or irregular graphics. This color pattern provides the main visual anti-counterfeiting effect. The raised texture is formed on the surface of the sticker before or after the color pattern is printed through a special process and is covered by the color pattern. The height of the raised texture is controlled at the micron level to ensure that it does not significantly affect the visual effect of the color pattern while being perceivable by finger touch.

[0044] During the anti-counterfeiting verification process, users can first conduct a preliminary verification by visually comparing the color pattern. If there are situations such as poor lighting or limited vision, users can gently touch the fingerprint code area with their fingers to perceive the existence and distribution of the raised texture. This dual verification mechanism greatly improves the reliability of the anti-counterfeiting effect.

[0045] The design of the raised texture takes into account multiple factors. First, the height and distribution of the texture are carefully calculated to provide sufficient tactile feedback without affecting the visual effect. Second, the shape and arrangement of the texture can be designed into specific patterns according to needs to increase the uniqueness and difficulty of imitation of anti-counterfeiting. Finally, the material selection of the raised texture needs to consider wear resistance and compatibility with the color pattern to ensure the stability of long-term use. For example, light-curing ink can be used to print layer by layer and cured by ultraviolet light to form the raised texture.

[0046] Through this design, the anti-counterfeiting label of this application retains the advantages of traditional visual anti-counterfeiting while adding a tactile anti-counterfeiting function, effectively solving the technical problem of being difficult to accurately distinguish authenticity under limited vision conditions.

[0047] In some embodiments, referring to the appended Figure 1 drawings and the appended Figure 2 , the raised texture 220 includes a magnetic body 221 buried under the color pattern 210; on one side of the sticker close to the fingerprint code 200, a foldable card 300 is provided that can cover the fingerprint code 200. The card 300 is filled with powder that can be adsorbed and driven by the magnetic body 221, and the card 300 is used to make the magnetic body 221 visible through the powder when covering the fingerprint code 200.

[0048] In this embodiment, by introducing a magnetic body and a foldable card, a multiple verification mechanism is created. The magnetic body is buried under the color pattern to form a raised texture that can be sensed by touch. The powder filled in the foldable card can be adsorbed by the magnetic body and shows the shape of the magnetic body when covering the fingerprint code.

[0049] Specifically, the magnetic body can be made of various materials, such as metals like iron, cobalt, nickel or their alloys. These materials have good magnetism and can effectively adsorb the powder in the card. The shape and distribution of the magnetic body can be designed according to needs, for example, it can be dot-shaped, line-shaped or a specific pattern. This design enables the raised texture to be sensed by touch even when the color pattern cannot be clearly distinguished.

[0050] The size of the foldable card should match the fingerprint code area to ensure complete coverage. The powder filled in the card can be fine iron powder or other magnetic particles. These powders should be fine enough to accurately show the shape of the magnetic body and at the same time not leak from the card.

[0051] When the card covers the fingerprint code, the magnetic body will attract the powder to form a pattern corresponding to the shape of the magnetic body. This method provides a new verification method that does not rely on the original color pattern, especially suitable for situations with poor light or limited color discrimination ability of users.

[0052] In actual application, users can judge the authenticity of the anti-counterfeiting label by touching and sensing the raised texture in the fingerprint code area. In addition, users can also cover the fingerprint code with the foldable card and observe the distribution of the powder. If the anti-counterfeiting label is genuine, the powder will be attracted by the magnetic body to form a pattern corresponding to the shape of the magnetic body, and this pattern should match the expected design.

[0053] As a preferred implementation, the magnetic body can be designed into a specific pattern or text, such as a brand logo or a product name. In this way, when the card covers, the powder pattern shown will form these specific patterns or texts, further increasing the reliability of anti-counterfeiting.

[0054] In addition, the card can be designed to be reusable. For example, the sticker is pasted on the product but the card remains movable (i.e., the card can still be folded normally to cover the fingerprint code). At this time, the user can flick the card with a finger to vibrate the internal powder so that the powder is redispersed.

[0055] This improved anti-counterfeiting label structure has significant advantages over the prior art. Traditional methods mainly rely on visual identification, which is ineffective in poor lighting or when the user's eyesight is limited. The solution of this application greatly increases the reliability and applicability of the anti-counterfeiting label by introducing tactile and magnetic verification. For example, in a completely dark environment, the user can verify the authenticity of the label by touch. Another example is when the user has a red-green color blindness eye disease, the user can verify the authenticity of the label by observing the powder form. This multiple verification mechanism not only increases the difficulty of anti-counterfeiting but also expands the usage scenarios of the anti-counterfeiting label, enabling it to effectively play its role in various environments.

[0056] In some embodiments, referring to the attached Figure 3 , the shape of the raised texture 220 is any one or more of granular, strip-shaped, and block-shaped.

[0057] Specifically, granular texture may be more suitable for applications that require a fine touch. For example, in the anti-counterfeiting labels of some high-end products, small granular raised textures can be used, which can not only provide a unique touch but also form a subtle texture effect visually. Strip-shaped texture may be more easily perceptible by touch and is suitable for scenarios that require quick verification. For example, on the packaging of some products that need to be verified frequently, strip-shaped raised textures can be used, enabling the verifier to quickly judge the authenticity by simple touch. Block-shaped texture may provide more obvious visual and tactile effects and is suitable for applications that require a higher security level. For example, on the anti-counterfeiting labels of some important documents or high-value items, block-shaped raised textures can be used. This texture is not only easy to identify but also provides a stronger anti-counterfeiting effect.

[0058] Furthermore, these raised textures of different shapes can be used in combination to form a more complex texture pattern. For example, granular, strip-shaped, and block-shaped textures can be used in different areas of the anti-counterfeiting label respectively, or these different-shaped textures can be arranged in a specific pattern to form a unique texture combination. This combined use not only increases the design flexibility of the anti-counterfeiting label but also greatly improves the difficulty of counterfeiting.

[0059] Thus, by providing a variety of shape options, the technical solution of this application increases the flexibility and adaptability of anti-counterfeiting labels. At the same time, the diverse shapes also increase the difficulty of counterfeiting because potential counterfeiters need to accurately replicate specific shape combinations. In addition, the presence of raised textures not only provides visual anti-counterfeiting but also increases the possibility of tactile anti-counterfeiting. Such multi-dimensional anti-counterfeiting features make the verification process more reliable and enable effective verification even under poor visual conditions.

[0060] This design not only solves the problem of the shape diversity of raised textures in anti-counterfeiting labels but also improves the security and difficulty of imitation of anti-counterfeiting labels. Compared with the prior art, the solution of this application has the following advantages: First, the diverse shapes of raised textures increase the design flexibility of anti-counterfeiting labels, and the most suitable texture combination can be selected according to different products and application scenarios. Second, the raised textures are hidden under the color patterns, increasing the concealment of anti-counterfeiting features and making it difficult for counterfeiters to replicate them through surface observation. Third, the combined use of multiple shapes greatly increases the difficulty of counterfeiting because multiple fine texture shapes and arrangements need to be replicated simultaneously. Finally, this design provides both visual and tactile verification methods, enabling effective verification even in a poor light environment, and greatly improving the practicality and reliability of anti-counterfeiting labels.

[0061] Refer to the attached Figure 3 and the attached Figure 4 , the present invention provides a preparation method for preparing the anti-counterfeiting label in the above embodiment, including the following steps: S1. Generate a two-dimensional code according to a specific first parameter sequence and print it on a sticker; S2. Obtain a second parameter sequence that has a unique corresponding relationship with the first parameter sequence; the second parameter sequence includes a feature code and a parameter code; S3. Determine the shape and position of the raised texture according to the feature code and set the raised texture in a preset area of the sticker; S4. Laminate a protective layer on the sticker and make the protective layer completely cover the raised texture; S5. Generate a color pattern according to the parameter code and print it on the preset area.

[0062] The anti-counterfeiting label preparation method proposed in this application solves the problem that the existing anti-counterfeiting label verification method overly relies on the user's vision by introducing raised textures and corresponding preparation steps. Specifically, this method provides the possibility of tactile verification by setting raised textures on the sticker, reducing the reliance on vision. Combining the raised textures with color patterns realizes dual verification of vision and touch, improving the anti-counterfeiting effect. Using the parameter sequence and feature code method to generate two-dimensional codes, raised textures, and color patterns ensures the uniqueness and relevance of anti-counterfeiting information. Using a protective layer to cover the raised textures enhances the durability of the anti-counterfeiting label.

[0063] First, in step S1, a QR code is generated according to a specific first parameter sequence and printed on a sticker. This step can be achieved in various ways. For example, using specialized QR code generation software, or converting the first parameter sequence into a QR code pattern through a custom algorithm. Printing can employ techniques such as thermal transfer, inkjet, or laser printing, and the specific choice depends on the sticker material and durability requirements.

[0064] In step S2, a second parameter sequence that has a unique correspondence with the first parameter sequence is obtained. This correspondence can be established through a hash function, encryption algorithm, or other mapping methods. The second parameter sequence contains a feature code and a parameter code, and this separation design increases the complexity and security of the anti-counterfeiting information.

[0065] In step S3, the shape and position of the raised texture are determined according to the feature code. The raised texture can be of various shapes, such as dot-shaped, line-shaped, or a specific pattern. The determination of the position can be based on the random distribution generated by the feature code or a preset rule. The production of the raised texture can adopt processes such as relief printing, hot pressing, or UV curing.

[0066] Step S4 involves laminating a protective layer on the sticker. The material of the protective layer can be a transparent plastic film or a special coating, and the lamination process needs to ensure that the raised texture is not damaged. Thermal pressing or cold pressing techniques can be used, and specific parameters such as temperature, pressure, and time need to be adjusted according to the material properties.

[0067] Finally, in step S5, a color pattern is generated according to the parameter code and printed on a preset area. The generation of the color pattern can use a specialized image processing algorithm to convert the parameter code into a specific combination of colors and patterns. The printing technology can choose a high-precision color printer to ensure the clarity and color reproduction of the pattern.

[0068] There are close associations and interactions among these steps. For example, the correspondence between the first parameter sequence and the second parameter sequence ensures the relevance among the QR code, the raised texture, and the color pattern. The setting of the raised texture combined with the printing of the color pattern creates the possibility of dual verification of vision and touch. The lamination of the protective layer not only protects the raised texture but also enhances the durability of the entire anti-counterfeiting label.

[0069] The method for preparing the anti-counterfeiting label of this application effectively solves the problem that the existing anti-counterfeiting label verification methods overly rely on the user's vision by combining multiple technical features. By introducing the raised texture, this method provides users with the option of tactile verification and reduces the reliance on vision. When the user's vision is affected or the light conditions are poor, the user can still verify the authenticity of the anti-counterfeiting label by touching the raised texture.

[0070] Specifically, the generation of the first parameter sequence and the QR code provides the basic information for subsequent verification. The second parameter sequence contains a feature code and a parameter code, which uniquely corresponds to the first parameter sequence, ensuring the uniqueness and relevance of the anti-counterfeiting information. The raised texture determines the shape and position according to the feature code, providing the basis for tactile verification and significantly reducing the dependence on vision. The protective layer covers the raised texture to protect the texture from being damaged, ensuring the reliability for long-term use. The color pattern is generated according to the parameter code, providing the basis for visual verification. Combined with the raised texture, it enhances the overall anti-counterfeiting effect.

[0071] Through the cooperation of these features, dual verification of vision and touch is achieved, effectively solving the problem of over-reliance on vision. Even in the case of insufficient light or limited user vision, tactile verification can still be effectively carried out, greatly improving the reliability and applicability of the anti-counterfeiting label.

[0072] As a preferred implementation manner, the method for preparing the anti-counterfeiting label of the present application can be as follows: First, use a 128-bit random number generator to generate the first parameter sequence, which serves as a unique identifier. Using the standard QR code generation algorithm, encode this 128-bit sequence into a 33×33 pixel QR code, and use a thermal transfer printer with a resolution of 600 dpi to print it on a 50mm×50mm PET material sticker.

[0073] Next, convert the first parameter sequence into a 256-bit second parameter sequence through the SHA-256 hashing algorithm. Divide these 256 bits into two parts: the first 128 bits as the feature code and the last 128 bits as the parameter code.

[0074] According to the feature code, use an algorithm based on the Voronoi diagram to generate the distribution map of the raised texture. In the central 30mm×30mm area of the sticker, generate 20 - 30 randomly distributed dot-shaped raised textures, with each raised having a diameter of 0.5 - 1mm and a height of 0.1 - 0.2mm. Use UV curing technology to make these raised textures on the sticker surface.

[0075] Then, select a 0.05mm thick transparent PET film as the protective layer, and use a hot press to press it for 30 seconds under the conditions of 120°C and 5MPa to ensure that the protective layer completely covers the raised texture and fits tightly with the sticker.

[0076] Finally, use the parameter code to create a color pattern through a proprietary image generation algorithm. This algorithm converts the 128-bit parameter code into a complex and difficult-to-replicate color pattern, containing multiple geometric shapes and gradient colors. Use an inkjet printer with a resolution of 1200 dpi to accurately print this color pattern on the 30mm×30mm area where the raised texture is located.

[0077] In this way, the prepared anti-counterfeiting label contains both visible QR codes and color patterns, as well as tactile raised textures, achieving a dual anti-counterfeiting effect of vision and touch.

[0078] Compared with the prior art, the method for preparing the anti-counterfeiting label of the present application has significant advantages. The prior art mainly relies on visual verification, and it is difficult to accurately distinguish the authenticity when the light is insufficient or the user's eyesight is limited. While the present application provides the possibility of tactile verification by introducing raised textures, greatly reducing the dependence on visual conditions. At the same time, the method of the present application organically combines QR codes, raised textures and color patterns through the unique correspondence of the parameter sequence, forming a more complex and difficult-to-counterfeit anti-counterfeiting system. In addition, the application of the protective layer enhances the durability of the anti-counterfeiting label, solving the problem that anti-counterfeiting features in the prior art are easily worn. These innovations have significantly improved the reliability, applicability and security of the anti-counterfeiting label of the present application.

[0079] In some embodiments, the shape of the raised texture is granular; The specific steps in step S3 include: S31. Obtain the corresponding scatter plot according to the feature code; the scatter plot includes a plurality of first random points scattered in a preset area; S32. Set raised textures at each of the first random points.

[0080] The present application transforms the abstract parameter sequence into the specific position of the raised texture by introducing the concepts of feature code and scatter plot. By randomly distributing granular raised textures in the preset area, it not only increases the security of the anti-counterfeiting label but also facilitates tactile verification by users. This method solves the problems of determining the shape and position of the raised texture, improving the reliability and practicality of the anti-counterfeiting label.

[0081] The shape of the raised texture is set to be granular, and this shape has several advantages. First, the granular shape is convenient for dispersedly arranging in the preset area, enabling higher randomness and unpredictability. Second, the granular shape is convenient for users to perceive through touch, and verification can be carried out even when the vision is limited. The size of the granular raised texture can be adjusted according to actual needs, and usually, the diameter can be set between 0.1 mm and 1 mm to ensure that it can be perceived by touch without affecting the overall beauty of the label.

[0082] In step S31, generating the scatter plot from the feature code realizes the conversion from parameters to specific positions. The generation of the scatter plot can adopt various algorithms, such as pseudo-random number generation algorithms, hash functions, etc. These algorithms can ensure that the same feature code always generates the same scatter plot, while the scatter plots generated by different feature codes have sufficient differences.

[0083] The scatter plot contains multiple first random points scattered within a preset area. The preset area can be a specific area on the label, such as a rectangular or circular area. The number of random points can be adjusted as needed and is usually set between 5 and 20 to balance security and manufacturing difficulty.

[0084] In step S32, raised textures are set at each of the first random points. This step converts the scatter plot into actual raised textures, completing the determination of the positions of the raised textures. The raised textures can be achieved through various methods, such as hot pressing, UV curing, 3D printing, etc. The height of each raised texture can be set between 0.05 mm and 0.5 mm to ensure tactile perception but not be overly prominent.

[0085] Through the above steps, the technical solution of this application achieves the precise determination of the shape and position of the raised textures. This method has the following advantages: First, by using the feature code and parameter code, this application establishes a mapping relationship from abstract data to specific physical features. This mapping relationship is unique and irreversible, greatly enhancing the security of the anti-counterfeiting label.

[0086] Second, by adopting the scatter plot and random point method, it ensures the random distribution of the raised textures within the preset area. This randomness makes it difficult for the anti-counterfeiting label to be replicated or counterfeited because even if the generation algorithm is known, the same distribution of raised textures cannot be reproduced without the original feature code.

[0087] Third, designing the raised textures as granular not only facilitates manufacturing but also enables users to verify through touch. This design takes into account different usage scenarios and user needs, improving the practicality and universality of the anti-counterfeiting label.

[0088] Finally, the technical solution of this application combines software algorithms and hardware manufacturing to achieve highly personalized and difficult-to-replicate anti-counterfeiting features. This combination raises the technical threshold of the anti-counterfeiting label and increases the difficulty of counterfeiting.

[0089] As a specific embodiment, the following scenario can be considered: Suppose it is necessary to produce anti-counterfeiting labels for a batch of high-end watches. First, generate a second parameter sequence containing the production date, batch number, and serial number, such as "20230601 - A001 - 00001". Then, convert this second parameter sequence into a feature code through a specific algorithm, such as "7f8a9b2c3d4e5f6g".

[0090] Next, a feature code-based pseudo-random number generator is used to generate 5 random points within a preset area of 10mm × 10mm. The coordinates of these points are recorded to form a scatter plot.

[0091] During the manufacturing process, precise 3D printing technology is used to print a granular raised texture with a diameter of 0.2mm and a height of 0.1mm at each random point. These raised textures are distributed within the preset area to form a unique tactile pattern.

[0092] Finally, a colored pattern is covered on the raised texture to complete the production of the anti-counterfeiting label. This anti-counterfeiting label can not only be initially verified visually but also be further verified by touching and feeling the distribution of the raised texture.

[0093] Compared with the prior art, traditional anti-counterfeiting labels mainly rely on visual verification and are easily affected by light conditions and user eyesight. However, this application overcomes these limitations by introducing tactile verification. At the same time, the randomly distributed raised textures in this application are more difficult to counterfeit than fixed patterns, improving the anti-counterfeiting effect. In addition, the technical solution of this application can achieve the uniqueness of each anti-counterfeiting label, which is difficult to achieve for traditional mass-produced anti-counterfeiting labels.

[0094] In some embodiments, the feature code is obtained through the following steps: A1. Obtain a three-dimensional sphere model based on a spherical discrete point random generation algorithm; multiple second random points are dispersedly arranged on the surface of the three-dimensional sphere model; A2. Randomly generate the orientation information of a virtual camera relative to the three-dimensional sphere model; the orientation information includes the relative coordinates and relative distance of the virtual camera relative to the center of the sphere of the three-dimensional sphere model; A3. Generate a corresponding feature code according to the three-dimensional sphere model and the orientation information; The specific steps in step S31 include: S311. Determine the corresponding three-dimensional sphere model according to the feature code and obtain the corresponding relative coordinates and relative distance; S312. Control the movement of the virtual camera according to the corresponding relative coordinates and relative distance and obtain the corresponding first perspective view through the window as the corresponding scatter plot after the virtual camera is in place; the shape and size of the window are the same as those of the preset area.

[0095] The feature code generation method proposed in this application cleverly solves the problem of unreasonable point distribution in the process of feature code generation by introducing the concepts of a three-dimensional sphere model and a virtual camera. First, a three-dimensional sphere model is created using a spherical discrete point random generation algorithm to ensure that the points are evenly distributed on the sphere. Then, by randomly generating the azimuth information of the virtual camera, the randomness and complexity of the feature code are increased. Finally, by controlling the movement of the virtual camera and obtaining the image of a specific perspective, a scatter plot adapted to a preset area is generated.

[0096] This method ensures the randomness and uniformity of the point distribution, avoiding the aggregation or sparsity problems that may occur in traditional two-dimensional plane random generation. By changing the position of the virtual camera, countless different scatter plots can be generated from the same three-dimensional sphere model, greatly increasing the uniqueness and security of the feature code. A window with the same shape and size as the preset area is used to ensure that the generated scatter plot can perfectly fit the specified area on the anti-counterfeiting label, facilitating the arrangement of magnetic bodies when preparing the anti-counterfeiting label.

[0097] The feature code generation method of this application includes the following key steps: 1. Spherical discrete point random generation algorithm: This algorithm is used to generate a three-dimensional sphere model to ensure the randomness and uniformity of the point distribution. Multiple methods can be used for specific implementation, such as: a) Spherical coordinate method: Randomly generate angles and radii in the spherical coordinate system and then convert them to the Cartesian coordinate system.

[0098] b) Rejection sampling method: Randomly generate points in the cubic space and only retain the points that fall within the sphere.

[0099] c) Helix method: Distribute points evenly along the spherical helix.

[0100] 2. Generation of virtual camera azimuth information: Randomly generate the azimuth information of the virtual camera relative to the three-dimensional sphere model, including relative coordinates and relative distances. The following methods can be used: a) Spherical coordinate random method: Randomly generate angles in the spherical coordinate system and fix or randomly generate distances.

[0101] b) Vector random method: Randomly generate unit vectors and then randomly generate distances.

[0102] 3. Feature code generation: Generate feature codes based on the three-dimensional sphere model and azimuth information. The following coding methods can be used: a) Direct coding: Directly code the parameters of the sphere model and the camera azimuth information.

[0103] b) Hash coding: Perform hash processing on the sphere model and the camera azimuth information.

[0104] c) Compression encoding: Use a compression algorithm to reduce the data volume of the feature code.

[0105] 4. Scatter plot acquisition: Generate a scatter plot by controlling the movement of a virtual camera and acquiring the images of specific perspectives. The specific steps include: a) Decode the three-dimensional sphere model and the camera orientation information from the feature code.

[0106] b) Move the virtual camera to the specified position.

[0107] c) Obtain a two-dimensional scatter plot through window projection.

[0108] These steps are closely related and work together to generate high-quality feature codes and scatter plots. The spherical discrete point algorithm ensures the uniform distribution of points. The introduction of the virtual camera increases the complexity of the feature code, and the use of the window ensures the matching of the scatter plot with the preset area.

[0109] In practical applications, the method of this application can flexibly adjust parameters to meet different requirements. For example, the density and distribution characteristics of the generated scatter plot can be controlled by adjusting parameters such as the sphere size, the number of points, and the camera distance range. In addition, multiple virtual cameras can be introduced to simultaneously obtain multiple scatter plots from different angles, further increasing the complexity and security of the feature code. Specific embodiments

[0110] Suppose it is necessary to generate a feature code and a scatter plot for a 5 cm × 5 cm anti-counterfeiting label.

[0111] 1. Use the spherical discrete point random generation algorithm to create a three-dimensional sphere model with a radius of 100 units, and evenly distribute 100 points on the sphere surface.

[0112] 2. Randomly generate the orientation information of the virtual camera: Relative coordinates: (x, y, z) = (78.3, -45.6, 92.1).

[0113] Relative distance: 150 units.

[0114] 3. Encode the sphere model parameters and the camera orientation information into a feature code, for example: "S100P100C78.3,-45.6,92.1D150".

[0115] 4. Reconstruct the three-dimensional scene according to the feature code: Analyze the feature code, reconstruct the sphere model and set the position of the virtual camera.

[0116] Align the virtual camera with the center of the sphere and set the window size to 5 cm × 5 cm.

[0117] Obtain a two-dimensional scatter plot through window projection, and obtain about 5 points scattered within a 5 cm × 5 cm area.

[0118] 5. Use these points as the arrangement positions of the magnetic bodies to complete the design of the anti-counterfeiting label.

[0119] Through this method, the present application successfully solves the problem of unreasonable point distribution in the process of generating feature codes. Compared with the traditional two-dimensional plane random generation method, the method of the present application has the following advantages: 1. The point distribution is more uniform, avoiding the problems of local aggregation or sparsity.

[0120] 2. The uniqueness and security of the feature code are significantly improved, and it is difficult to be cracked by simple copying or guessing.

[0121] 3. The generated scatter plot can perfectly fit the preset area, facilitating the subsequent production of anti-counterfeiting labels.

[0122] 4. By adjusting the parameters, the density and distribution characteristics of the scatter plot can be flexibly controlled to meet different application requirements.

[0123] This method for generating feature codes based on three-dimensional space not only solves the technical problem of unreasonable point distribution, but can also be used in combination with other anti-counterfeiting technologies, thereby further improving the security and reliability of anti-counterfeiting labels.

[0124] In some embodiments, the specific steps in step A3 include: A31. Control the virtual camera to move according to the corresponding relative coordinates and relative distances, and obtain the corresponding second perspective view through the window after the virtual camera is in place; the second perspective view includes a plurality of third random points arranged dispersedly; A32. Determine the processing range of each third random point in the second perspective view; the processing range refers to the range surrounded by the circular boundary drawn with the third random point as the center and a preset radius; A33. When the processing ranges of any two third random points overlap, adjust the relative distance so that the processing ranges of all third random points do not overlap; A34. When the processing range of any one third random point exceeds the window, adjust the relative coordinates so that the processing ranges of all third random points fall within the window; A35. Generate the corresponding feature code according to the three-dimensional sphere model, the adjusted relative distance, and the adjusted relative coordinates.

[0125] The technical solution of this application optimizes the generation process of feature codes through a series of steps. First, a second perspective image containing random points is obtained through a virtual camera. Then, a processing range is set for each random point, and the distribution of these points is optimized by adjusting the relative distance and relative coordinates. Specifically, when the processing ranges of points overlap, the relative distance is adjusted to eliminate the overlap; when the processing range exceeds the window, the relative coordinates are adjusted to ensure that all points are within the window. Finally, the feature code is generated based on these optimized parameters.

[0126] In practical applications, the technical solution of this application can be implemented in the following ways: First, control the movement of the virtual camera according to the relative coordinates and relative distance. For example, a three-dimensional coordinate system can be set, where the center of the sphere is located at the origin (0, 0, 0), the initial position of the virtual camera may be (10, 10, 10), and the relative distance is 17.32 units. By adjusting these parameters, the position and perspective of the virtual camera can be changed.

[0127] Second, obtain the second perspective image through the window. The window can be designed as a circular area, such as 640x480 pixels (the shape and size of the window are the same as those of the preset area). When the virtual camera is in place, capture the image of the three-dimensional sphere model through this window to form the second perspective image.

[0128] Then, determine the processing range of each third random point in the second perspective image. The processing range can be defined as a circular area centered on each random point. For example, a fixed radius value, such as 5 pixels, can be set as the preset radius.

[0129] Next, two key adjustment steps are carried out: 1. When it is found that the processing ranges of any two third random points overlap, adjust the relative distance. For example, if the circular processing ranges of two points intersect, gradually increase the relative distance of the virtual camera, such as from the initial 17.32 units to 18.5 units, until all processing ranges no longer overlap.

[0130] 2. When the processing range of any one third random point exceeds the window, adjust the relative coordinates. For example, if the processing range of a certain point partially falls outside the 640x480 pixel window, adjust the relative coordinates of the virtual camera, such as changing the x coordinate from 10 to 9.5, until all processing ranges completely fall within the window.

[0131] Finally, generate the final feature code through a specific coding algorithm based on the adjusted parameters.

[0132] The advantage of this method is that it can dynamically adjust the distribution of random points, ensuring that the generated feature codes have better uniformity and reliability. Through repeated adjustment processes, the method of the present application can effectively avoid the problems of point aggregation or sparsity that may occur in traditional random generation methods, thereby improving the quality of feature codes and the anti-counterfeiting effect.

[0133] For example, in a specific embodiment, assume that there are 100 randomly distributed points on an initial three-dimensional sphere model. There are a total of 5 points in the image obtained by the virtual camera at the current position, and these points may show non-uniform distribution, with some areas having dense points and some areas having sparse points. Through the method of the present application, first set the processing range radius of each point to 5 pixels. Then, the system checks whether there is an overlap in the processing ranges of these 5 points. Assume that it is found that there are 2 pairs of points with overlapping processing ranges, and the system will increase the relative distance, for example, from the initial 20 units to 22 units. This process will be repeated until the processing ranges of all points no longer overlap.

[0134] Next, the system checks whether the processing range of any point exceeds the 640x480 pixel window. Assume that it is found that the processing range of 1 point partially exceeds the window, and the system will fine-tune the relative coordinates of the virtual camera, for example, adjust the x coordinate from 10 to 9.8 and the y coordinate from 10 to 10.2. This process will also be repeated until the processing ranges of all points are completely within the window.

[0135] Through the above optimizations, there is sufficient spacing between each point and all are within the specified window range, which is beneficial to improving the recognition accuracy of feature codes and the anti-counterfeiting effect.

[0136] The present application introduces a three-dimensional sphere model and a virtual camera, obtains different scatter plots by changing the position of the virtual camera, and finally generates feature codes with different characteristics according to different three-dimensional sphere models and different orientation information. In addition, the method of the present application provides a clear judgment criterion for the optimization of point distribution by introducing the concept of processing range, which makes the optimization process more precise and controllable. Compared with simple random generation or fixed template methods, the method of the present application can ensure the quality and reliability of feature codes while guaranteeing randomness, thereby greatly improving the security and practicality of anti-counterfeiting labels.

[0137] Refer to the attached Figure 5 , the present invention provides a verification method for the anti-counterfeiting label based on the above embodiment (that is, the verification method can be applied to the anti-counterfeiting label in the above embodiment), including the following steps: B1. The user terminal scans the QR code to obtain a first parameter sequence; B2. Input the first parameter sequence into the verification system and obtain a color verification pattern and a texture verification pattern after passing the verification; B3. Identify the authenticity of the anti-counterfeiting label through the color verification pattern and / or the texture verification pattern.

[0138] The verification method proposed in this application effectively solves the technical problem that it is difficult to accurately identify the authenticity of anti-counterfeiting labels relying solely on visual comparison by introducing a multi-dimensional verification mechanism. Specifically, the method first uses the user terminal to scan the QR code to obtain the parameter sequence, and then generates a color verification pattern and a texture verification pattern through the verification system. These two verification patterns correspond to visual and tactile verification respectively, making the verification process no longer limited to a single visual comparison.

[0139] By providing two verification methods, visual and tactile, the method significantly improves the accuracy and reliability of anti-counterfeiting verification. Even in poor light conditions or when the user's vision is restricted, verification can still be carried out through tactile comparison. This multi-dimensional verification method not only enhances the anti-counterfeiting effect but also improves the applicability and universality of verification.

[0140] The core inventive point of this method lies in the introduction of the texture verification pattern, realizing the possibility of tactile verification. This innovative design makes anti-counterfeiting verification no longer completely rely on vision, greatly improving the reliability and scope of application of verification.

[0141] The verification method proposed in this application includes three main steps: First, the user terminal scans the QR code to obtain the first parameter sequence. This step can be achieved in various ways, such as using the camera of a smartphone to scan the QR code on a sticker, or using a dedicated QR code scanning device. During the scanning process, the device may need to adjust the focus and light to ensure accurate reading of the QR code information. The first parameter sequence may contain various information, such as the unique identifier of the anti-counterfeiting label, production date, batch number, etc.

[0142] Second, input the first parameter sequence into the verification system and obtain a color verification pattern and a texture verification pattern after passing the verification. The verification system can be a remote server or a local device, which receives the first parameter sequence and conducts verification. The verification process may involve steps such as querying the database and decrypting information. After passing the verification, the system generates two verification patterns: a color verification pattern and a texture verification pattern. The color verification pattern may be a complex color pattern or graphic, while the texture verification pattern may be a tactile surface texture description or model.

[0143] Finally, the authenticity of the anti-counterfeiting label is identified through the color verification pattern and / or the texture verification pattern. Users can choose to visually compare the color verification pattern or perceive the texture verification pattern by touch, or use both methods simultaneously for verification. This flexibility enables the verification process to adapt to different environmental conditions and user requirements.

[0144] These three steps are closely related to form a complete verification process. The parameter sequence obtained in the first step provides the necessary input information for subsequent verification. The processing of the verification system in the second step ensures the security and reliability of the verification. Meanwhile, the two generated verification patterns provide multi-dimensional references for the final identification. The flexible verification method in the last step makes full use of the results of the previous two steps to achieve accurate anti-counterfeiting identification.

[0145] A specific embodiment of this verification method is as follows: The user uses a smartphone to scan the QR code on the anti-counterfeiting label. The QR code contains a 128-bit unique identifier as the first parameter sequence. The mobile application sends this sequence to the verification server through an encrypted channel. The server verifies the validity of the sequence and generates a color verification pattern of 300x300 pixels, which contains specific color gradients and geometric shapes. Meanwhile, the server also generates a corresponding texture verification pattern, which describes the positions and quantities of a series of tiny protrusions.

[0146] The verification pattern is returned to the user's mobile phone through an encrypted channel. The user can view the color verification pattern on the screen and visually compare it with the actual pattern on the anti-counterfeiting label. For texture verification, the user can gently touch the surface of the anti-counterfeiting label with a fingertip to feel the positions and sizes of the protrusions and compare them with the texture verification pattern provided by the mobile application.

[0147] Compared with the prior art, traditional methods rely only on visual comparison and are easily affected by light conditions and users' eyesight. However, this method introduces tactile verification, greatly improving the reliability of the verification. Even in the case of insufficient light or limited eyesight of the user, accurate verification can still be carried out through touch. In addition, the dual verification mechanism also increases the difficulty of anti-counterfeiting and improves the security of the system.

[0148] In some embodiments, the specific steps in step B3 include: B31. Identify the authenticity of the anti-counterfeiting label through any one or more of the following steps: B31A. Identify the authenticity of the anti-counterfeiting label by visually comparing the color verification pattern with the color pattern on the sticker; B31B. Identify the authenticity of the anti-counterfeiting label by tactilely comparing the texture verification pattern with the raised texture on the sticker.

[0149] Flexible verification options are provided. Users can choose to use visual comparison, tactile comparison or a combination of the two for verification according to actual conditions, which increases the applicability and practicality of the verification method.

[0150] The technical solution proposed in this application includes two methods for distinguishing the authenticity of anti-counterfeiting labels: visual comparison and tactile comparison. These two methods can be used alone or in combination to improve the accuracy and reliability of identification.

[0151] Specifically, the visual comparison method is to distinguish the authenticity of the anti-counterfeiting label by comparing the color verification pattern and the color pattern on the sticker. This method uses the human eye's ability to recognize colors and patterns, which can be quickly and intuitively distinguished. However, this method may be affected in poor lighting conditions or when the user's vision is limited.

[0152] To overcome the limitations of visual comparison, this application introduces a tactile comparison method. This method distinguishes the authenticity of anti-counterfeiting labels by comparing the texture verification pattern and the raised texture on the sticker. The raised texture can take different shapes, such as granular, striped or blocky, to increase the difficulty and accuracy of identification. The tactile comparison method does not rely on visual conditions, so it can still be used effectively in low light or limited user vision.

[0153] The combination of these two methods can significantly improve the accuracy of anti-counterfeiting label authenticity identification. For example, in a well-lit environment, users can first make a visual comparison and then further confirm it through tactile comparison. In a low-light environment, users can mainly rely on tactile comparison for identification.

[0154] In addition, the technical solution of the present application also takes into account the needs and usage scenarios of different users. For users with normal vision, the visual comparison method can be mainly used; for users with limited vision, the tactile comparison method can be more relied on. This flexibility makes the anti-counterfeiting label verification method of the present application suitable for a wider range of user groups and usage environments.

[0155] The technical solution of this application combines the two senses of vision and touch for verification, effectively solving the problem of inaccurate identification that may be caused by relying solely on visual comparison. Visual comparison provides an intuitive way of identification, while tactile comparison provides a method of identification that does not rely on visual conditions. The combination of the two can greatly improve the accuracy and reliability of anti-counterfeiting label authenticity identification.

[0156] In practical applications, the technical solution of this application can be implemented according to the following steps: First, the user obtains the anti-counterfeiting label to be verified. The anti-counterfeiting label includes a pasteable sticker, on which a QR code and a fingerprint code are printed. The fingerprint code includes a specific color pattern and raised textures that are hidden under the color pattern and protrude upward.

[0157] Next, the user uses a terminal device (such as a smartphone) to scan the QR code on the anti-counterfeiting label to obtain a first parameter sequence. The user inputs this first parameter sequence into the verification system. After passing the verification, the verification system will generate and provide the user with a color verification pattern and a texture verification pattern.

[0158] Then, the user can choose one or more of the following methods to distinguish the authenticity of the anti-counterfeiting label: 1. Visual comparison: The user makes a visual comparison between the color verification pattern provided by the verification system and the color pattern on the sticker. The user needs to carefully observe details such as the colors, shapes, and positions of the two patterns to determine whether they are exactly the same.

[0159] 2. Tactile comparison: The user makes a tactile comparison between the texture verification pattern provided by the verification system and the raised textures on the sticker. The user can gently touch the raised textures on the sticker with a finger to feel their shapes and distributions, and then compare them with the texture verification pattern.

[0160] 3. Combined use: The user can first perform a visual comparison and then a tactile comparison, or perform both comparisons simultaneously. This method can maximize the accuracy of discrimination.

[0161] Through this method, even in the case of insufficient light or limited user vision, the authenticity of the anti-counterfeiting label can still be distinguished through tactile comparison, thus overcoming the limitation of over-reliance on visual comparison in the prior art.

[0162] Compared with the prior art, the technical solution of this application has the following advantages: 1. Multi-sensory verification: By combining two senses, vision and touch, for verification, the accuracy and reliability of distinguishing the authenticity of the anti-counterfeiting label are improved. This multi-sensory verification method overcomes the limitations of single-sense verification.

[0163] 2. Strong adaptability: The technical solution of this application is applicable to various lighting conditions and user vision conditions. Even in the case of insufficient light or limited user vision, effective verification can still be carried out through tactile comparison.

[0164] 3. High flexibility: The user can choose to use visual comparison, tactile comparison, or a combination of both according to the actual situation for verification, increasing the applicability and practicality of the verification method.

[0165] 4. Improved security: By introducing tactile verification, the security of anti-counterfeiting labels is increased, making counterfeiting more difficult. Counterfeiters not only need to copy the visual effects, but also need to imitate the tactile features.

[0166] 5. User-friendliness: The technical solution of this application takes into account the needs of different users. Both users with normal vision and users with limited vision can easily use this verification method.

[0167] In general, the technical solution proposed in this application effectively solves the problem of inaccurate identification that may be caused by relying solely on visual comparison by combining visual and tactile verification, thereby improving the accuracy, reliability and applicability of anti-counterfeiting label verification.

[0168] In some embodiments, the raised texture 220 includes a magnetic body 221 buried under the color pattern 210; a card 300 that can be folded and covered on the fingerprint code 200 is provided on one side of the sticker close to the fingerprint code 200, and the card 300 is filled with powder that can be absorbed by the magnetic body 221. The card 300 is used to make the magnetic body 221 visible through the powder when covering the fingerprint code 200; The steps for identifying the authenticity of the anti-counterfeit label in step B31 also include: B31C. Cover the card with the fingerprint code and verify the authenticity of the anti-counterfeiting label by visually comparing the texture verification pattern and the powder morphology displayed on the card.

[0169] The technical solution proposed in this application creatively transforms anti-counterfeiting verification from simple visual comparison to a combination of physical interaction and vision by introducing magnetic bodies and powders that can be absorbed by magnetic bodies. This method not only increases the difficulty of anti-counterfeiting, but also improves the accuracy of verification. Even in poor lighting conditions or when the user's color resolution ability is limited, the authenticity of the anti-counterfeiting label can be more accurately judged by observing the pattern formed by the powder on the card.

[0170] Specifically, in the anti-counterfeiting label of the present application, the raised texture includes a magnetic body buried under the color pattern. This design provides a physical basis for subsequent verification. The magnetic body can be made of a variety of materials, such as metals such as iron, cobalt, nickel or their alloys, or some magnetic oxides such as ferrite. The shape of the magnetic body can be granular, strip or block, and its size and distribution can be designed according to specific needs.

[0171] A card that can be folded and covered on the fingerprint code is provided on the side of the sticker close to the fingerprint code. This foldable design allows the card to be closely attached to the sticker when not in use without affecting the overall appearance of the label, while it can be conveniently covered on the fingerprint code when verification is required. The card can be made of soft and transparent materials, such as paper or thin plastic materials.

[0172] The card is filled with powder that can be adsorbed by the magnetic body. This powder is a key material in the verification process and can interact with the magnetic body. The powder can be fine iron powder or other magnetic particles. The particle size of the powder should be small enough to ensure that it can form a clear pattern under the action of the magnetic field.

[0173] When the card is covered on the fingerprint code, the powder in the card will be attracted by the magnetic body, thus forming a pattern corresponding to the texture of the magnetic body on the surface of the card. This process makes the originally hidden magnetic body texture visible. The movement and aggregation of the powder are affected by the magnetic field strength, so the clarity and accuracy of the pattern directly reflect the distribution of the magnetic body.

[0174] In the verification process, the user first scans the QR code through the user terminal to obtain the first parameter sequence and inputs it into the verification system. After passing the verification, the verification system will generate a color verification pattern and a texture verification pattern. Next, the user covers the card on the fingerprint code, and at this time, the powder in the card will be attracted by the magnetic body, forming a specific pattern on the surface of the card. The user can distinguish the authenticity of the anti-counterfeiting label by visually comparing the texture verification pattern with the powder pattern shown on the card.

[0175] This verification method combines physical interaction and visual comparison, greatly improving the reliability of anti-counterfeiting. Even in a poor light environment, or for users with weak color recognition ability, or for users who still cannot make an accurate judgment after touching the raised texture, by observing the black-and-white contrast pattern formed by the powder, the authenticity of the anti-counterfeiting label can be judged relatively accurately.

[0176] In addition, since the distribution of the magnetic body is hidden and the interaction with the powder is based on physical principles, this method also greatly increases the difficulty of counterfeiting.

[0177] As a preferred implementation, an image recognition function can be set in the verification system. The user can take a photo of the powder pattern formed on the card and upload it to the verification system for automatic comparison. The verification system can use image processing algorithms to analyze the uploaded image and compare it with the preset standard pattern, so as to give a more objective verification result.

[0178] In a specific embodiment, the sticker size of the anti-counterfeiting label is 5 cm × 5 cm, and the fingerprint code area is 2 cm × 2 cm. The raised texture uses granular magnetic bodies with a particle size between 50 - 100 microns, randomly distributed within the fingerprint code area. The card size is 2.5 cm × 2.5 cm, with a thickness of 0.5 mm, and is uniformly filled with iron powder with a particle size of 10 - 20 microns. During verification, the user covers the card over the fingerprint code and gently pats it a few times to allow the powder to be fully affected by the magnetic field. Subsequently, the user can observe the pattern formed on the card surface with the naked eye or using a magnifying glass and compare it with the standard pattern provided by the verification system.

[0179] Compared with the prior art, traditional methods mainly rely on the user's visual recognition ability and are easily affected by environmental light and individual eyesight differences. In this application, by introducing magnetic interaction, the hidden information is transformed into a touchable and more easily recognizable form, greatly improving the accuracy and reliability of verification. In addition, this method also increases the difficulty of counterfeiting the anti-counterfeiting label because counterfeiters not only need to copy the visual effect but also need to precisely imitate the distribution of the magnetic bodies, which is more technically challenging.

[0180] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0181] The above description is only for the embodiments of the present invention and is not intended to limit the protection scope of the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A verification method, applied to an anti-counterfeiting label, characterized in that, The anti-counterfeiting label includes a sticker that can be pasted, and a two-dimensional code (100) and a fingerprint code (200) are printed on the sticker. The fingerprint code (200) includes a specific color pattern (210) and a raised texture (220) that is hidden under the color pattern (210) and protrudes upward; The verification method includes the following steps: B1. The user terminal scans the two-dimensional code to obtain a first parameter sequence; B2. Input the first parameter sequence into the verification system and obtain a color verification pattern and a texture verification pattern after passing the verification; B3. Distinguish the authenticity of the anti-counterfeiting label through the color verification pattern and / or the texture verification pattern.

2. The verification method according to claim 1, wherein The specific steps in step B3 include: B31. Distinguish the authenticity of the anti-counterfeiting label through any one or more of the following steps: B31A. Distinguish the authenticity of the anti-counterfeiting label by visually comparing the color verification pattern and the color pattern on the sticker; B31B. Distinguish the authenticity of the anti-counterfeiting label by tactilely comparing the texture verification pattern and the raised texture on the sticker.

3. The verification method according to claim 2, wherein The raised texture (220) includes a magnetic body (221) buried under the color pattern (210); a card (300) that can be folded and covered on the fingerprint code (200) is provided on one side of the sticker close to the fingerprint code (200). The card (300) is filled with powder that can be adsorbed by the magnetic body (221), and the card (300) is used to make the magnetic body (221) visible through the powder when it is covered on the fingerprint code (200); The steps for distinguishing the authenticity of the anti-counterfeiting label in step B31 also include: B31C. Cover the card on the fingerprint code and distinguish the authenticity of the anti-counterfeiting label by visually comparing the texture verification pattern and the powder form shown on the card.

4. An anti-counterfeiting label, comprising a sticker that can be pasted, and a two-dimensional code (100) and a fingerprint code (200) are printed on the sticker. The fingerprint code (200) includes a specific color pattern (210), and is characterized in that, The fingerprint code (200) further includes a raised texture (220) that is hidden under the color pattern (210) and protrudes upward.

5. The anti-counterfeiting label according to claim 4, wherein The raised texture (220) includes a magnetic body (221) buried under the color pattern (210); a card (300) that can be folded and covered on the fingerprint code (200) is provided on one side of the sticker close to the fingerprint code (200). The card (300) is filled with powder that can be adsorbed and driven by the magnetic body (221), and the card (300) is used to make the magnetic body (221) visible through the powder when it is covered on the fingerprint code (200).

6. The anti-counterfeiting label according to claim 5, characterized in that, The shape of the raised texture (220) is any one or more of granular, strip-shaped, and block-shaped.

7. A preparation method for preparing the anti-counterfeiting label according to any one of claims 4-5, characterized in that, Including the following steps: S1. Generate the two-dimensional code according to a specific first parameter sequence and print it on the sticker; S2. Obtain a second parameter sequence that has a unique correspondence with the first parameter sequence; the second parameter sequence includes a feature code and a parameter code; S3. Determine the shape and position of the raised texture according to the feature code and set the raised texture in a preset area of the sticker; S4. Laminate a protective layer on the sticker and make the protective layer completely cover the raised texture; S5. Generate the color pattern according to the parameter code and print it on the preset area.

8. The preparation method according to claim 7, characterized in that, The shape of the raised texture is granular; The specific steps in step S3 include: S31. Obtain the corresponding scatter plot according to the feature code; the scatter plot includes a plurality of first random points dispersed in the preset area; S32. Set the raised texture at each of the first random points.

9. The preparation method according to claim 8, wherein The feature code is obtained through the following steps: A1. Obtain a three-dimensional sphere model based on a spherical discrete point random generation algorithm; a plurality of second random points are dispersed on the surface of the three-dimensional sphere model; A2. Randomly generate the orientation information of the virtual camera relative to the three-dimensional sphere model; the orientation information includes the relative coordinates and relative distance of the virtual camera relative to the center of the sphere of the three-dimensional sphere model; A3. Generate the corresponding feature code according to the three-dimensional sphere model and the orientation information; The specific steps in step S31 include: S311. Determine the corresponding three-dimensional sphere model according to the feature code and obtain the corresponding relative coordinates and relative distance; S312. Control the movement of the virtual camera according to the corresponding relative coordinates and relative distance and obtain the corresponding first perspective view as the corresponding scatter plot through the window after the virtual camera is in place; the shape and size of the window are the same as those of the preset area.

10. The preparation method according to claim 9, characterized in that, The specific steps in step A3 include: A31. Control the movement of the virtual camera according to the corresponding relative coordinates and relative distance and obtain the corresponding second perspective view through the window after the virtual camera is in place; the second perspective view includes a plurality of third random points dispersed; A32. Determine the processing range of each of the third random points in the second perspective view; the processing range refers to the range enclosed by the circular boundary drawn with the third random point as the center according to a preset radius; A33. When the processing ranges of any two of the third random points overlap, adjust the relative distance so that the processing ranges of all the third random points do not overlap; A34. When the processing range of any one of the third random points exceeds the window, adjust the relative coordinates so that the processing ranges of all the third random points fall within the window; A35. Generate the corresponding feature code according to the three-dimensional sphere model, the adjusted relative distance and the adjusted relative coordinates.

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