Anti-counterfeiting method based on physical characteristics of paper
By measuring and extracting characteristic parameters of the microscopic geometric shape and texture of the paper surface, a identifiable anti-counterfeiting mark is generated, which solves the problems of insufficient anti-counterfeiting effects and easy imitation in the prior art, and achieves efficient, low-cost and environmentally friendly anti-counterfeiting effects.
Patent Information
- Application Number
- CN202510042704.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-06-10
AI Technical Summary
The existing anti-counterfeiting technology fails to fully utilize the physical characteristics of paper, resulting in insufficient anti-counterfeiting effect and is easily imitated, resulting in an increase in counterfeiting behavior.
By accurately measuring the microscopic geometry and texture of the surface of the concave and convex texture paper, feature parameters are extracted and converted into a recognizable anti-counterfeiting mark, and embedded in the paper design, users can obtain the anti-counterfeiting query results of the paper through scanning.
It realizes the uniqueness of anti-counterfeiting labels, is difficult to copy and forge, improves the reliability of paper, and does not require additional anti-counterfeiting materials, is suitable for large-scale low-cost applications, and is environmentally friendly and sustainable.
Smart Images
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Abstract
Description
Technical Field
[0001] The present invention relates to the field of anti-counterfeiting technology, and particularly to an anti-counterfeiting method based on the physical properties of paper. Technical Background
[0002] With the continuous progress of anti-counterfeiting technology, various anti-counterfeiting means have been widely used in the authentication of goods and documents to effectively verify the authenticity of goods or documents. In the current market, anti-counterfeiting labels and security papers mostly adopt traditional technical means, such as watermarks, fluorescent inks, and anti-counterfeiting textures, etc. These means usually rely on artificial design and processing.
[0003] However, these traditional anti-counterfeiting technologies do not fully utilize the physical properties of paper, resulting in insufficient anti-counterfeiting effects and being vulnerable to modern technical means. Once obtained and imitated by lawbreakers, it may lead to serious counterfeiting behaviors, bringing risks to the market and consumers.
[0004] How to fully exploit the physical properties of paper through innovative technical means and design an anti-counterfeiting method that cannot be easily replicated to ensure the reliability of documents or products has become an urgent technical problem in the current anti-counterfeiting field. Summary of the Invention
[0005] To solve the above problems, the present invention proposes an anti-counterfeiting method based on the physical properties of paper, and the present invention adopts the following technical solutions:
[0006] An anti-counterfeiting method based on the physical properties of paper specifically includes the following steps:
[0007] Step 1, precisely measure the surface roughness of each point on the concave-convex textured paper through a dedicated device to obtain data describing the microscopic geometric shape and texture of each point on the paper surface;
[0008] Step 2, post-process the data of the microscopic geometric shape and texture of each point on the paper surface obtained in Step 1 to extract characteristic parameters describing the microscopic geometric shape and texture of the paper surface;
[0009] Step 3, convert the characteristic parameters extracted in Step 2 into corresponding recognizable anti-counterfeiting marks;
[0010] Step 4, users can obtain the paper anti-counterfeiting query result by scanning the anti-counterfeiting mark.
[0011] Further, the specific operation of Step 1 is as follows: Use an optical profiler or an atomic force microscope to measure the surface microgeometry and texture features of the concave-convex textured paper. Randomly select a 10 mm × 10 mm area of the paper surface for surface roughness testing. Slowly slide a diamond stylus along the measured surface. The up-and-down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the profile curve of the measured cross-section is given, and finally, the data describing the microgeometry and texture of each point on the paper surface is obtained.
[0012] Further, the specific operation of Step 2 is as follows: Based on the data of the microgeometry and texture of each point on the paper surface obtained in Step 1, post-process the obtained data, including calculation: Select the arithmetic mean height S within the divided area a or the root mean square height S q or the mean deviation R of the surface profile a or the maximum peak height R of the profile p， The specific operation is as follows:
[0013] The first method: Divide the 10 mm × 10 mm area into several regions of the same size, and use Vision Map software to extract the arithmetic mean height S of each region a , S a is an important parameter to measure the micro-irregularity of the machined surface, describing the unevenness of the surface with smaller spacing and tiny peaks and valleys. It is the height deviation of all points on the entire profile line and can be used to characterize the variance of the surface height and other complex features. The calculation formula is used:
[0014]
[0015] where z(x, y) is the surface height and A is the area of the measurement region;
[0016] The second method: Divide the 10 mm × 10 mm area into several regions of the same size, and use Vision Map software to extract the root mean square height S of each region q , S q The parameter refers to the root mean square value of the vertical distance between the surface profile line and the reference line. It represents the dispersion degree of the surface roughness. The larger its value, the greater the dispersion degree of the surface profile and the more uneven the surface roughness. The calculation formula is used:
[0017]
[0018] where z(x, y) is the surface height and A is the area of the measurement region;
[0019] The third method: Divide the 10mm×10mm area into several areas of the same size. Select curves in each area according to the national standard GB / T 10610-2009 Rules and Methods for the Evaluation of Surface Texture - Profile Method, and then use Vision Map software to extract the arithmetic mean deviation R of the surface profile of the curve. a , R a is one of the most common surface roughness parameters, which describes the arithmetic mean of the absolute values of the distances from all points to the average line within a certain measurement length of the surface profile line. It is a simple and widely used standard roughness index.
[0020]
[0021] Among them, y(x) is the profile height and L is the measurement length.
[0022] The fourth method: Divide the 10mm×10mm area into several areas of the same size. Select curves in each area according to the national standard GB / T 10610-2009 Rules and Methods for the Evaluation of Surface Texture - Profile Method, and then use Vision Map software to extract the maximum peak height R of the profile. p , R p represents the distance between the highest peak line and the lowest valley line of the curve profile.
[0023] Furthermore, the characteristic parameters describing the microscopic geometry and texture of the paper surface in step 2 include discrete data, matrices, graphics, and fractal dimensions.
[0024] Furthermore, the specific operation of step 3 is: Make the discrete data, matrices, graphics, and fractal dimensions processed in step 2 into QR codes, barcodes or digital signatures, and embed any one of these forms as an anti-counterfeiting identifier into the design of the paper label. Each anti-counterfeiting identifier is closely bound to the unique physical characteristics of the paper.
[0025] Furthermore, the specific operation of step 4 is: Store the designed anti-counterfeiting identifier and other information of the paper in the paper anti-counterfeiting information database for future reference. When a user verifies the authenticity of the paper, scan the anti-counterfeiting identifier with a mobile phone. The system will automatically query and verify the correctness of the anti-counterfeiting identifier. If the anti-counterfeiting identifier does not match the information on record in the database, the user will be prompted that the paper is forged. If the anti-counterfeiting identifier matches the information on record in the database, the user will be prompted that the paper is genuine.
[0026] Furthermore, the anti-counterfeiting identifier in step 2 can be in the form of a QR code, barcode, or digital signature, and the anti-counterfeiting identifier is embedded in the design of the paper.
[0027] Furthermore, the anti-counterfeiting identifier in step 2 is protected by an encryption algorithm.
[0028] An anti-counterfeiting information database of the physical properties of paper is used to store the anti-counterfeiting mark mentioned above. The authenticity of the paper can be checked by querying the anti-counterfeiting information database of the paper.
[0029] The anti-counterfeiting technology based on the physical properties of paper can also be combined with other anti-counterfeiting technologies, such as: anti-counterfeiting based on the physical properties of paper + texture anti-counterfeiting, anti-counterfeiting based on the physical properties of paper + optically variable anti-counterfeiting, and anti-counterfeiting based on the physical properties of paper + pattern anti-counterfeiting technology.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] (1) Uniqueness of anti-counterfeiting mark. The concave and convex texture characteristics of paper surface are randomly formed naturally during the papermaking process. Even paper produced in the same batch has different surface micro-geometry and texture. Therefore, the extracted surface feature data is difficult to copy and forge and is unique.
[0032] (2) No additional anti-counterfeiting materials are required. Traditional anti-counterfeiting technologies require the addition of anti-counterfeiting watermark paper, security thread paper, optically variable ink, magnetic ink, holographic film or laser film and other materials with unique optical effects to achieve anti-counterfeiting effects. The present invention, on the other hand, performs anti-counterfeiting by identifying the unique physical features on the surface of the material, without the need for additional materials or consumables, and is suitable for large-scale low-cost applications. It does not require the introduction of chemical coatings, metal labels and other substances, which is beneficial to environmental protection and in line with the concept of sustainable development.
[0033] (3) The anti-counterfeiting method is more efficient and convenient. The acquired microstructure feature data is encoded into a QR code, barcode or digital signature and embedded in the paper design. After the user scans the QR code, barcode or digital signature with a mobile phone and visits a specific address, the system will automatically extract and compare features through computer vision, deep learning and other algorithms, match the logo with the background reference information, query and verify the authenticity of the logo, and quickly feedback the query results to the user. DETAILED DESCRIPTION
[0034] The present invention is described in detail below through specific embodiments.
[0035] An anti-counterfeiting method based on the physical properties of paper, specifically comprising the following steps:
[0036] Step 1: Measure the surface microgeometry and texture features of the concave-convex textured paper using an optical profiler or an atomic force microscope. Randomly select a 10 mm × 10 mm area on the paper surface for surface roughness testing. Slowly slide a diamond stylus along the measured surface. The up-and-down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the cross-sectional profile curve of the measured object is given, and finally, the data describing the microgeometry and texture of each point on the paper surface is obtained.
[0037] Step 2: Post-process the data of the microgeometry and texture of each point on the paper surface obtained in Step 1, and extract the characteristic parameters describing the microgeometry and texture of the paper surface. The characteristic parameters include discrete data, matrices, graphs, and fractal dimensions.
[0038] The methods for post-processing the obtained data include calculations: Select the arithmetic mean height S within the divided area a or the root mean square height S q or the mean deviation R of the surface profile a or the maximum peak height R of the profile p， The specific practices are as follows:
[0039] The first method: Divide the 10 mm × 10 mm area into several regions of the same size, and use Vision Map software to extract the arithmetic mean height S of each region a , S a is an important parameter to measure the micro-irregularity of the machined surface, which describes the unevenness of the surface with smaller spacing and tiny peaks and valleys. It is the height deviation of all points on the entire profile line and can be used to characterize the variance of the surface height and other complex features. The calculation formula is used:
[0040]
[0041] where z(x,y) is the surface height and A is the area of the measurement region;
[0042] The second method: Divide the 10 mm × 10 mm area into several regions of the same size, and use Vision Map software to extract the root mean square height S of each region q , S q The parameter refers to the root mean square value of the vertical distance between the surface profile line and the reference line. It represents the dispersion degree of the surface roughness. The larger the value, the greater the dispersion degree of the surface profile and the more uneven the surface roughness. The calculation formula is used:
[0043]
[0044] where z(x,y) is the surface height and A is the area of the measurement region;
[0045] The third method: Divide the 10 mm × 10 mm area into several regions of the same size. Select curves in each region according to the national standard GB / T 10610-2009 Rules and Methods for the Evaluation of Surface Texture by the Profiling Method, and then use Vision Map software to extract the arithmetic mean deviation R of the surface profile of the curve a ,R a is one of the most common surface roughness parameters, which describes the arithmetic mean of the absolute values of the distances from all points to the average line within a certain measurement length of the surface profile line. It is a simple and widely used standard roughness index;
[0046]
[0047] where y(x) is the profile height and L is the measurement length;
[0048] The fourth method: Divide the 10 mm × 10 mm area into several regions of the same size. Select curves in each region according to the national standard GB / T 10610-2009 Rules and Methods for the Evaluation of Surface Texture by the Profiling Method, and then use Vision Map software to extract the maximum peak height R of the profile p ,R p represents the distance between the highest peak line and the lowest valley line of the curve profile.
[0049] Step 3: Make the discrete data, matrix, graphics, and fractal dimension processed in Step 2 into QR codes, barcodes, or digital signatures, and embed any one of these forms as an anti-counterfeiting identifier into the design of the paper label. Each anti-counterfeiting identifier is closely bound to the unique physical characteristics of the paper.
[0050] Step 4: Store the designed anti-counterfeiting identifier and other information of the paper in the paper anti-counterfeiting information database for future reference; when a user verifies the authenticity of the paper, scan the anti-counterfeiting identifier with a mobile phone, and the system will automatically query and verify the correctness of the anti-counterfeiting identifier. If the anti-counterfeiting identifier does not match the information on record in the database, the user will be prompted that the paper is forged; if the anti-counterfeiting identifier matches the information on record in the database, the user will be prompted that the paper is genuine.
[0051] For the convenience of traceability and security management, the database will record and update the detailed information of each query. If the anti-counterfeiting identifier is queried for the first time, the anti-counterfeiting identifier should show that it has been abnormally accessed or the number of accesses during the second or multiple queries, ensuring the uniqueness of the identifier.
[0052] Example 1
[0053] An anti-counterfeiting method based on the physical characteristics of paper specifically includes the following steps:
[0054] Step 1: Use an optical profilometer to measure the surface microgeometry and texture characteristics of the concave-convex textured paper. Randomly select a 10 mm × 10 mm area on the paper surface for surface roughness testing. Use a diamond stylus to slowly slide along the measured surface. The up-and-down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the profile curve of the measured cross-section is given, and finally, the data describing the microgeometry and texture of each point on the paper surface is obtained.
[0055] Step 2: Post-process the data of the microgeometry and texture of each point on the paper surface obtained in Step 1. Divide the 10 mm × 10 mm area into several regions of the same size, and use Vision Map software to extract the arithmetic mean height S of the profile of each region a , calculation formula:
[0056]
[0057] where z(x,y) is the surface height and A is the area of the measurement region;
[0058] Record the Sa of each extracted region in the form of discrete data.
[0059] Step 3: Make the discrete data processed in Step 2 into a QR code as an anti-counterfeiting mark and embed it in the design of the paper label. Each anti-counterfeiting mark is closely bound to the unique physical characteristics of the paper.
[0060] Step 4: Store the designed anti-counterfeiting mark and other information of the paper in the paper anti-counterfeiting information database for future reference; when the user verifies the authenticity of the paper, scan the anti-counterfeiting mark with a mobile phone, and the system will automatically query and verify the correctness of the anti-counterfeiting mark. If the anti-counterfeiting mark does not match the information on record in the database, the user will be prompted that the paper is forged. If the anti-counterfeiting mark matches the information on record in the database, the user will be prompted that the paper is genuine.
[0061] Example 2
[0062] An anti-counterfeiting method based on the physical characteristics of paper specifically includes the following steps:
[0063] Step 1: Use an atomic force microscope to measure the surface microgeometry and texture characteristics of the concave-convex textured paper. Randomly select a 10 mm × 10 mm area on the paper surface for surface roughness testing. Use a diamond stylus to slowly slide along the measured surface. The up-and-down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the profile curve of the measured cross-section is given, and finally, the data describing the microgeometry and texture of each point on the paper surface is obtained.
[0064] Step 2: Post-process the data of the microscopic geometric shapes and textures of each point on the paper surface obtained in Step 1. Divide the 10mm×10mm area into several regions of the same size, and use Vision Map software to extract the root mean square height S of each region. q Calculation formula:
[0065]
[0066] where z(x,y) is the surface height and A is the area of the measurement region;
[0067] Record the S of each extracted region q in matrix form.
[0068] Step 3: Make the matrix processed in Step 2 into a barcode as an anti-counterfeiting mark and embed it in the design of the paper label. Each anti-counterfeiting mark is closely bound to the unique physical characteristics of the paper.
[0069] Step 4: Store the designed anti-counterfeiting mark and other information of the paper in the paper anti-counterfeiting information database for future reference. When a user verifies the authenticity of the paper, scan the anti-counterfeiting mark with a mobile phone. The system will automatically query and verify the correctness of the anti-counterfeiting mark. If the anti-counterfeiting mark does not match the information on record in the database, the user will be prompted that the paper is forged. If the anti-counterfeiting mark matches the information on record in the database, the user will be prompted that the paper is genuine.
[0070] Example 3
[0071] Step 1: Use an optical profilometer to measure the microscopic geometric shapes and texture features of the surface of the concave-convex textured paper. Randomly select a 10mm×10mm area on the paper surface for surface roughness testing. Slowly slide a diamond stylus along the measured surface. The up and down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the cross-sectional profile curve of the measured object is given, and finally, the data describing the microscopic geometric shapes and textures of each point on the paper surface is obtained.
[0072] Step 2: Post-process the data of the microscopic geometric shapes and textures of each point on the paper surface obtained in Step 1. Divide the 10mm×10mm area into several regions of the same size. Select curves in each region according to the national standard GB / T10610-2009 Rules and Methods for the Evaluation of Surface Texture by Profilometry, and then use Vision Map software to extract the mean deviation R of the surface profile of the curve. a Calculation formula:
[0073]
[0074] Among them, y(x) is the contour height, and L is the measurement length;
[0075] For each extracted region, R a is recorded in graphical form.
[0076] Step 3: Make the graph processed in Step 2 into a digital signature and embed it as an anti-counterfeiting identifier into the design of the paper label. Each anti-counterfeiting identifier is closely bound to the unique physical characteristics of the paper.
[0077] Step 4: Store the designed anti-counterfeiting identifier and other information of the paper together in the paper anti-counterfeiting information database for future reference; when a user verifies the authenticity of the paper, by scanning the anti-counterfeiting identifier with a mobile phone, the system will automatically query and verify the correctness of the anti-counterfeiting identifier. If the anti-counterfeiting identifier does not match the information on record in the database, the user will be prompted that the paper is forged. If the anti-counterfeiting identifier matches the information on record in the database, the user will be prompted that the paper is genuine.
[0078] Example 4
[0079] An anti-counterfeiting method based on the physical characteristics of paper specifically includes the following steps:
[0080] Step 1: Use an atomic force microscope to measure the surface microgeometry and texture characteristics of the embossed and concave-convex paper. Randomly select a 10 mm × 10 mm area on the paper surface for surface roughness testing. Slowly slide a diamond stylus along the measured surface. The up-and-down displacement of the stylus is converted into an electrical signal by an electrical length sensor, and after amplification, filtering, and calculation, the surface roughness value is given, or the measured cross-sectional contour curve is given, and finally, the data describing the microgeometry and texture of each point on the paper surface is obtained.
[0081] Step 2: Post-process the data of the microgeometry and texture of each point on the paper surface obtained in Step 1. Divide the 10 mm × 10 mm area into several regions of the same size. Select curves in each region according to the national standard GB / T 10610-2009 Rules and Methods for the Evaluation of Surface Texture by the Profile Method, and then use Vision Map software to extract the maximum peak height R of the contour p , R p represents the distance between the highest peak line and the lowest valley line of the curve contour;
[0082] For each extracted region, R p is recorded in the form of fractal dimension.
[0083] Step 3: Make the fractal dimension processed in Step 2 into a QR code and embed it as an anti-counterfeiting identifier into the design of the paper label. Each anti-counterfeiting identifier is closely bound to the unique physical characteristics of the paper.
[0084] Step 4: Store the designed anti-counterfeiting label and other paper information in the paper anti-counterfeiting information database for future reference. When a user verifies the authenticity of the paper, by scanning the anti-counterfeiting label with a mobile phone, the system will automatically query and verify the correctness of the anti-counterfeiting label. If the anti-counterfeiting label does not match the information on record in the database, the user will be prompted that the paper is forged. If the anti-counterfeiting label matches the information on record in the database, the user will be prompted that the paper is genuine.
[0085] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An anti-counterfeiting method based on the physical properties of paper, characterized in that: The specific steps include: Step 1, using specialized equipment to accurately measure the surface roughness of each point on the concave-convex texture paper, and obtain data describing the microscopic geometric shape and texture of each point on the paper surface; Step 2, post-processing the data of micro-geometric shape and texture of each point on the paper surface obtained in step 1, and extracting characteristic parameters describing the micro-geometric shape and texture of the paper surface; Step 3, converting the characteristic parameters extracted in step 2 into corresponding identifiable anti-counterfeiting marks; Step 4: Users can obtain paper anti-counterfeiting query results by scanning the anti-counterfeiting mark.
2. The anti-counterfeiting method based on the physical properties of paper according to claim 1, characterized in that: The specific method of step 1 is: use an optical profilometer or atomic force microscope to measure the surface micro-geometry and texture characteristics of the concave-convex textured paper, randomly select a 10mm×10mm area on the paper surface for surface roughness test, use a diamond stylus to slowly slide along the measured surface, and the up and down displacement of the stylus is converted into an electrical signal by an electrical length sensor. After amplification, filtering, and calculation, the surface roughness value is given, or the profile curve of the measured section is given, and finally data describing the micro-geometry and texture of each point on the paper surface are obtained.
3. The anti-counterfeiting method based on the physical properties of paper according to claim 1, characterized in that: The specific method of step 2 is: based on the data of microscopic geometric shape and texture of each point on the paper surface obtained in step 1, the obtained data is post-processed, including calculation: the arithmetic mean height S within the divided area is selected a Or RMS height S q Or the average deviation of the surface profile R a Or the maximum peak height R of the profile p , the specific steps are: The first method is to divide the 10 mm × 10 mm area into several areas of the same size and use Vision Map software to extract the arithmetic mean height S of the contour of each area. a , S a It is an important parameter to measure the microscopic roughness of the machined surface. It describes the roughness of the surface with small spacing and tiny peaks and valleys. It is the height deviation of all points on the entire contour line. It can be used to characterize the variation of surface height and other complex features. The calculation formula is: Where z(x,y) is the surface height and A is the area of the measurement area; The second method is to divide the 10 mm × 10 mm area into several areas of the same size and use Vision Map software to extract the root mean square height S of each area. q , S q The parameter refers to the root mean square value of the vertical distance between the surface contour line and the reference line. It indicates the degree of discreteness of the surface roughness. The larger the value, the greater the degree of discreteness of the surface contour and the more uneven the surface roughness. The calculation formula is: Where z(x,y) is the surface height and A is the area of the measurement area; The third method: Divide the 10mm×10mm area into several areas of the same size, select a curve in each area according to the national standard GB / T 10610-2009 "Rules and methods for evaluating surface structure by surface structure profile method", and then use Vision Map software to extract the average deviation R of the surface profile of the curve. a , R a It is one of the most common surface roughness parameters, describing the arithmetic mean of the absolute value of the distance from all points to the average line within a certain measurement length of the surface profile. It is a simple and widely used standard roughness index. Where y(x) is the profile height and L is the measured length; The fourth method: Divide the 10mm×10mm area into several areas of the same size, select a curve in each area according to the national standard GB / T 10610-2009 "Rules and methods for evaluating surface structure by surface structure profile method", and then use Vision Map software to extract the maximum peak height R of the profile. p , R p Indicates the distance between the highest peak and the lowest valley of the curve profile.
4. The anti-counterfeiting method based on the physical properties of paper according to claim 1, characterized in that: The characteristic parameters describing the microscopic geometric shape and texture of the paper surface in step 2 include discrete data, matrix, graph, and fractal dimension.
5. The anti-counterfeiting method based on the physical properties of paper according to claim 4, characterized in that: The specific approach of step 3 is: the discrete data, matrix, graphics, fractal dimension processed by step 2 is made into a QR code, barcode or digital signature, and any of them is embedded into the design of the paper label as an anti-counterfeiting mark. Each anti-counterfeiting mark is closely bound to the unique physical properties of the paper.
6. The anti-counterfeiting method based on the physical properties of paper according to claim 1, characterized in that: The specific approach of step 4 is: store the designed anti-counterfeiting mark and other information of the paper in the paper anti-counterfeiting information database for reference; when the user verifies the authenticity of the paper, he scans the anti-counterfeiting mark through the mobile phone, and the system will automatically query and verify the correctness of the anti-counterfeiting mark. If the anti-counterfeiting mark does not match the reference information in the database, the user will be prompted that the paper is counterfeit. If the anti-counterfeiting mark matches the reference information in the database, the user will be prompted that the paper is authentic.
7. The anti-counterfeiting method based on the physical properties of paper according to claim 1, characterized in that: The anti-counterfeiting mark in step 2 can be in the form of a QR code, a barcode, or a digital signature, and the anti-counterfeiting mark is embedded in the design of the paper.
8. An anti-counterfeiting method based on the physical properties of paper according to any one of claims 1 or 7, characterized in that: The anti-counterfeiting mark in step 2 is protected by an encryption algorithm.
9. An anti-counterfeiting method based on the physical properties of paper, characterized in that: It is used to store the anti-counterfeiting mark as claimed in claim 1, and the authenticity of the paper can be checked by querying the paper anti-counterfeiting information database.