An anti-counterfeiting identification method for wrinkled anti-counterfeiting labels with fingerprint-like structures

Abstract

The present invention provides an anti-counterfeiting identification method for a wrinkle anti-counterfeiting label with a fingerprint-like structure, which comprises the following steps: converting an RGB image of an optical image of the wrinkle anti-counterfeiting label into a grayscale image; setting a certain threshold to convert the grayscale image into a black-and-white binary image; refining the black and white lines in the binary image to obtain a required refined image; finding and marking the breakpoints and bifurcation points of the wrinkle pattern in the refined image using code statements, and counting the number of the breakpoints and bifurcation points; finding a breakpoint within r pixels, setting the size according to actual needs, and having no other breakpoints and bifurcation points within the radius length, recording the number of characteristic points, and counting the distances between each characteristic point; and performing anti-counterfeiting identification: using the number of breakpoints and bifurcation points of the wrinkle pattern on the anti-counterfeiting label to effectively and accurately determine the authenticity of the product. The anti-counterfeiting identification method for the wrinkle anti-counterfeiting label with a fingerprint-like structure provided by the present invention is simple and easy to implement, has a high accuracy rate, and can be practically applied in the field of anti-counterfeiting.

Description

Technical Field

[0001] The invention relates to an anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure, and belongs to the technical field of anti-counterfeiting labels. Background Art

[0002] Fingerprint-like wrinkle patterns have randomly distributed breakpoints and bifurcations. By leveraging their location and number, each wrinkle label can be uniquely distinguished. Therefore, this characteristic of fingerprint-like wrinkle patterns can be applied to anti-counterfeiting efforts. To achieve this, the present invention proposes a method for anti-counterfeiting identification that leverages the unique number and location relationship between the breakpoints and bifurcations in a wrinkle pattern, enabling accurate and efficient identification. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure to solve the problems raised in the above-mentioned background technology. The identification method provided by the present invention is quick and simple and can accurately determine the authenticity of the fingerprint-like wrinkled structure anti-counterfeiting label.

[0004] To achieve the above object, the present invention is implemented through the following technical solution: an anti-counterfeiting identification method for a wrinkled anti-counterfeiting label having a fingerprint-like structure, the anti-counterfeiting identification method comprising the following steps:

[0005] (1) Converting the RGB image of the optical image of the wrinkled anti-counterfeiting label into a grayscale image;

[0006] (2) Set a certain threshold to convert the grayscale image into a black and white binary image;

[0007] (3) Refine the black and white lines in the binary image to obtain the required refined image;

[0008] (4) In the refined graph, use code statements to find and mark the breakpoints and bifurcation points of the fold pattern, and count the number of breakpoints and bifurcation points;

[0009] (5) Find the breakpoints within r pixels, set the size according to actual needs, and there are no other breakpoints or bifurcation points within the radius length. Such breakpoints are regarded as the feature points that can represent the unique characteristics of the wrinkle pattern. Record the number of feature points and count the distances between each feature point.

[0010] (6) Anti-counterfeiting identification: The number of breakpoints and bifurcation points, the number of feature points, and the distance between each feature point on the anti-counterfeiting label are compared with the stored data. The three-level identification is based on a progressive approach, which can effectively and accurately determine the authenticity of the product.

[0011] Furthermore, the rgb2gray function is used in step (1) to convert the brightness of each pixel of the RGB image into a single grayscale value.

[0012] Furthermore, the threshold value in step (2) can represent the peaks and troughs of the wrinkle pattern with black line areas and white line areas respectively.

[0013] Furthermore, in step (3), the wrinkle ridge line is represented by a white line with a width of one pixel.

[0014] Furthermore, in the steps (4) and (5), the number of breakpoints and bifurcation points, the number of characteristic points and the distances between the characteristic points are important bases for distinguishing the anti-counterfeiting label.

[0015] Beneficial effects of the present invention: The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure of the present invention compares the number of breakpoints and bifurcation points of the wrinkle pattern on the anti-counterfeiting label, the number of characteristic points and the distance between each characteristic point with the stored data. The three-layer identification is based on progressive layers, which can effectively and accurately determine the authenticity of the product. The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure provided by the present invention is simple and easy to implement, has a high accuracy rate, and can be practically applied in the field of anti-counterfeiting. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0017] Figure 1 In the anti-counterfeiting identification method for a wrinkle anti-counterfeiting label having a fingerprint-like structure of the present invention, Examples 1-5 are five original images of the wrinkle morphology of the fingerprint-like structure obtained under a laser confocal microscope;

[0018] Figure 2 Examples 1-5 of the anti-counterfeiting identification method for a wrinkle anti-counterfeiting label with a fingerprint-like structure of the present invention are respectively five detailed images of wrinkle patterns;

[0019] Figure 3 In the anti-counterfeiting identification method of the present invention for a wrinkled anti-counterfeiting label with a fingerprint-like structure, the red dot represents a schematic diagram of the breakpoint structure found without other breakpoints and bifurcation points within a radius of 25 pixels. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0021] See also Figure 1-Figure 3The present invention provides a technical solution: an anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure, the anti-counterfeiting identification method comprising the following steps:

[0022] (1) using an optical camera to obtain a clear RGB image of the wrinkle anti-counterfeiting label, and using the brightness difference between the wrinkle ridge line and the valley line in the wrinkle RGB image to convert the RGB image of the wrinkle anti-counterfeiting label into a grayscale image;

[0023] (2) Set a certain threshold and convert the grayscale image of the wrinkles into a black and white binary image with only black areas and white lines. In this case, the white lines represent the direction of the wrinkle ridges, and the black areas represent the rest.

[0024] (3) Performing a thinning operation on the black and white binary image to obtain a thinned image. After thinning, the wrinkle ridges will be represented by white lines with a width of only one pixel;

[0025] (4) In the refined graph, use code statements to find and mark the breakpoints and bifurcation points of the fold pattern, and count the number of breakpoints and bifurcation points;

[0026] (5) Find the breakpoints within r pixels, set the size according to actual needs, and there are no other breakpoints or bifurcation points within the radius length. Such breakpoints are regarded as the feature points that can represent the unique characteristics of the wrinkle pattern. Record the number of feature points and count the distances between each feature point.

[0027] (6) Anti-counterfeiting identification: The number of breakpoints and bifurcation points, the number of feature points, and the distance between each feature point on the anti-counterfeiting label are compared with the stored data. The three-level identification is based on a progressive approach, which can effectively and accurately determine the authenticity of the product.

[0028] Table 1 records the number of breakpoints and bifurcation points in the pleat patterns of Examples 1-5 and calculates the similarity f1 and f2 of the number of Examples 1-5 and Comparative Example 1, for example: the number of breakpoints in Example i is m i , the number of bifurcation points is n i (i=1, 2, 3, 4, 5). The similarities in the number of breakpoints and bifurcation points between Example 2 and Comparative Example 1 are f1=|m2-m1| / m1*100%; f2=|n2-n1| / n1*100%;

[0029] Number of breakpoints Number of fork points f1(％) f2(％) Example 1 80 32 100.00 100.00 Example 2 66 25 82.50 78.13 Example 3 76 22 95.00 68.75 Example 4 75 23 93.75 71.88 Example 5 80 20 100.00 62.50

[0030] Table 1

[0031] Table 2 records the mutual distances between each characteristic point of the wrinkle pattern in implementations 1-5;

[0032]

[0033] Table 2

[0034] Table 3 calculates the similarity f3 between the mutual distances between each feature point in Examples 1-5 and the mutual distances between each feature point in Comparative Example 1. For example, the mutual distances between feature points in Comparative Example 1 are represented by the set A = [a1 a2a3 ... a m ]; the mutual distances between the feature points in Example 2 are set B = [b1 b2 b3 ... b n ] Count the number l of elements in B that belong to set A within the range of plus or minus 3, then in Example 2, f3 = l / n*100%;

[0035]

[0036] Table 3

[0037] Final similarity f = (f1 + f2 + f3) / 3; Table 4 calculates the final similarity between Examples 1-5 and Comparative Example 1;

[0038]

[0039] Table 4

[0040] Furthermore, the threshold value in step (2) can represent the peaks and troughs of the wrinkle pattern with black line areas and white line areas respectively.

[0041] Furthermore, in step (3), the wrinkle ridge line is represented by a white line with a width of one pixel.

[0042] Furthermore, in the steps (4) and (5), the number of breakpoints and bifurcation points, the number of characteristic points and the distances between the characteristic points are important bases for distinguishing the anti-counterfeiting label.

[0043] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from all points of view, the embodiments should be regarded as illustrative and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes that fall within the meaning and range of equivalents of the claims are included in the present invention. Any reference signs in the claims should not be construed as limiting the claim to which they relate.

[0044] In addition, it should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A method for identifying anti-counterfeiting of wrinkled anti-counterfeiting labels having a fingerprint-like structure, characterized in that: The anti-counterfeiting identification method comprises the following steps: (1) Converting the RGB image of the optical image of the wrinkled anti-counterfeiting label into a grayscale image; (2) Set a certain threshold to convert the grayscale image into a black and white binary image; (3) Refine the black and white lines in the binary image to obtain the required refined image; (4) In the refined graph, use code statements to find and mark the breakpoints and bifurcation points of the fold pattern, and count the number of breakpoints and bifurcation points; (5) Find the breakpoints within r pixels, set the size according to actual needs, and there are no other breakpoints or bifurcation points within the radius length. Such breakpoints are regarded as the feature points that can represent the unique characteristics of the wrinkle pattern. Record the number of feature points and count the distances between each feature point. (6) Anti-counterfeiting identification: The number of breakpoints and bifurcation points, the number of feature points, and the distance between each feature point on the anti-counterfeiting label are compared with the stored data. The three-level identification is based on a progressive approach, which can effectively and accurately determine the authenticity of the product.

2. The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure according to claim 1, characterized in that: The rgb2gray function is used in step (1) to convert the brightness of each pixel of the RGB image into a single grayscale value.

3. The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure according to claim 1, characterized in that: The threshold value in step (2) can represent the peaks and troughs of the wrinkle pattern with black line areas and white line areas respectively.

4. The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure according to claim 1, characterized in that: In step (3), the wrinkle ridges are represented by white lines with a width of one pixel.

5. The anti-counterfeiting identification method for a wrinkled anti-counterfeiting label with a fingerprint-like structure according to claim 1, characterized in that: In the steps (4) and (5), the number of breakpoints and bifurcation points, the number of characteristic points and the distances between the characteristic points are important bases for distinguishing the anti-counterfeiting label.

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