Manual artwork image nanometer digital discrimination method

Abstract

The invention discloses a manual artwork image nanometer digital discrimination method, which comprises the following steps of selecting a main eye and an auxiliary eye for a local picture of the same part of a manual artwork photographed image to be discriminated at a fixed angle, distance, vertical and front side, and respectively constructing'nine-eye patterns with the same structure; respectively measuring / calculating the side length, the angle and the ratio of the side length of each triangle in the two'nine-eye diagrams'; carrying out corresponding comparison on the measured / calculated data; a comparison data result is obtained; constructing a plurality of'nine-eye diagrams', repeating the measurement / calculation steps to obtain data, and comparing the data; and finally obtaining a discrimination conclusion. According to the invention, the pain point and the aeipathic disease of'integrity loss' existing for a long time in the cultural artwork industry are solved, and the integrity and the transaction confidence of the cultural artwork transaction market are improved; the defect of subjective discrimination by naked eyes of appreciation experts is avoided, and the influence of subjective factors is reduced to the greatest extent.

Description

Technical Field

[0001] The present invention relates to the technical field of art authentication, and more particularly to a method for nano-digitally discriminating handcrafted art images. Background Art

[0002] The cultural and art market has long been troubled by "forgery" and "dishonesty".

[0003] (1) Currently, there are mainly four groups involved in authenticating the authenticity of artworks, including academic researchers led by literature research, art authentication experts whose main tasks are museum collections and physical research, cultural relics authentication experts engaged in on-site excavation and research, and practicing experts who rely on their eyesight in the auction market and trading market. They participate in various art authentication activities in society by virtue of their knowledge, historical materials, research experience, and practical experience. (2) With the help of scientific instruments such as X-rays, spectrometers, infrared rays, isotope scans, etc., they are often used and play corresponding roles in the field of art authentication. (3) With the help of fingerprint technology, fingerprints of the creator or appraiser are left on the artworks for future generations to identify. (4) With the help of two-dimensional code technology, the established edited information is input into the two-dimensional code, and then the two-dimensional code is printed on the artworks for scanning and identification.

[0004] Technical Defects: (1) The subjectivity of appraisers is relatively strong when authenticating artworks; (2) The current level of authentication with the help of scientific instruments is mainly limited to analyzing and authenticating the material characteristics or element content changes of the art carrier. First, there is insufficient connection with the art itself. Second, the material characteristics or element changes are easily exploited for forgery and simulation; (3) With the help of biometric fingerprint technology, first, it is difficult to collect and retain fingerprints on artworks, and it is not easy to preserve them for a long time, with poor reliability. Moreover, retaining fingerprints itself is a destruction of the artistic atmosphere and artistic conception. Second, a person's fingerprint characteristics are fixed and are easily exploited for false impersonation; (4) With the help of two-dimensional code technology, since the information in the two-dimensional code is artificially edited and input in advance, there is a large room for forgery in this link. The information content can be edited arbitrarily, with strong randomness and lack of strict constraints.

[0005] Therefore, how to provide a method for nano-digitally discriminating handcrafted art images to effectively solve the above problems to the greatest extent is an urgent problem for those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a method for nano-digitally discriminating handcrafted art images, including the following steps:

[0007] S1. First, vertically photograph the comparison object image from the front at the same angle and distance, then select local images of the same part, select the main and secondary eyes at the characteristic points, and then construct a "nine-eye diagram";

[0008] S2. Measure / calculate the side lengths in nanometers. There are 16 side lengths in each "Nine-Eye Diagram". Measure / calculate the absolute values of the side lengths to obtain the numerical values of each side length.

[0009] S3. Measure / calculate the angle values. There are 24 angle values in each "Nine-Eye Diagram". Measure / calculate the angle values to obtain the numerical value of each angle.

[0010] S4. Measure / calculate the ratios of the side lengths of the eight triangles in the "Nine-Eye Diagram". There are 120 side length ratios in each "Nine-Eye Diagram". After measurement / calculation, 120 data are obtained.

[0011] S5. Compare the corresponding numerical values. A total of 160 data need to be compared for each "Nine-Eye Diagram". Compare the absolute values of the side lengths, the angle values, and the ratios of the side lengths of the "Nine-Eye Diagrams" in the two images correspondingly to obtain the comparison data and results.

[0012] S6. Multiple "Nine-Eye Diagrams" can be constructed. Repeat the above measurement / calculation steps to obtain data and then make comparisons.

[0013] S7. Conduct comprehensive analysis and research on the comparison data of multiple "Nine-Eye Diagrams" and draw a discrimination conclusion.

[0014] Furthermore, the structure of the "Nine-Eye Diagram" in step S1 is as follows: Select the same part of the picture in two handcraft images to be compared. First, find a place with obvious features (or the center point as the main star eye) in the picture as a center point. Take the center point as the main eye (the positions of the main eyes of the two compared artworks are the same). In the four directions of up, down, left, and right around it, arbitrarily find eight places with obvious features (or the edge points as the secondary star eyes) as the eight secondary eyes (the positions of the secondary eyes of the two compared artworks are the same). Then, connect the eight secondary eyes with the main eye respectively and connect the adjacent secondary eyes in sequence to form eight triangles of different shapes, thus constituting the "Nine-Eye Diagram".

[0015] Furthermore, the key parameters in steps S2 - S4 mainly include the respective nanometer digital side length values of the eight triangles in the "Nine-Eye Diagram", the angle values of each triangle, and the nanometer digital mutual ratio between the side lengths.

[0016] Furthermore, the discrimination and comparison method in step S5 is as follows: After measuring / calculating the above numerical values, then calculate the ratio of the absolute values of the corresponding triangle side lengths and calculate the difference (subtraction value); calculate the ratio of the corresponding triangle angle values and calculate the difference (subtraction value); calculate the ratio of the corresponding side length ratios and calculate the difference (subtraction value).

[0017] Further, the screening criteria and results in step S5 are described as follows: The screening results are generally divided into pre-screening results and post-screening results. The pre-screening results are simulated similarity or high similarity, and the post-screening results are consistency and difference.

[0018] Further, the "difference" can be further divided into insignificant "difference" and significant "difference". Insignificant "difference" is generally regarded as a high imitation, and significant "difference" is generally regarded as a low imitation. Generally, "consistency" and "sub-consistency" are collectively referred to as "consistency" and both belong to genuine products.

[0019] Further, the screening conclusions in step 7 are divided into theoretical screening criteria and practical screening criteria.

[0020] Further, the theoretical screening criteria are as follows:

[0021] (1) During the screening process, when taking pictures for comparison, if the vertical front angle remains unchanged and the distance remains unchanged, the absolute value of the side length in nanometers is equal, the angle value is equal, and the ratio of the side lengths in nanometers is equal, and the comparison difference is 0, a "consistency" conclusion is drawn, and the screening object is a genuine product;

[0022] (2) During the screening process, when taking pictures for comparison, if the vertical front angle remains unchanged but the distance changes, the absolute value of the side length in nanometers is not equal, the angle value is equal, and the ratio of the side lengths in nanometers is equal, the comparison difference of the absolute value of the side length in nanometers is not 0, and the comparison differences of the angle value and the ratio of the side lengths in nanometers are 0, a "sub-consistency" conclusion is drawn, and the screening object is also a genuine product;

[0023] (3) During the screening process, when making numerical comparisons, as long as there are equal to or less than 42 pairs of unequal values among 120 pairs of side length ratios, and the difference ratio is equal to or less than 35%, which is equivalent to only one of the eight sub-eyes not conforming, an insignificant "difference" conclusion is drawn, and the screening object is generally regarded as a high imitation;

[0024] (4) During the screening process, when making numerical comparisons, as long as there are more than 42 pairs of unequal values among 120 pairs of side length ratios, and the difference ratio is greater than 35%, which is equivalent to more than two of the eight sub-eyes not conforming, a significant "difference" conclusion is drawn, and the screening object is generally regarded as a low imitation.

[0025] Further, the practical screening criteria are as follows:

[0026] (1) Under the condition of "consistency", the comparison differences are as follows: the difference of the absolute value of the side length in nanometers is 0 - 100 nm (theoretically equal to 0), the difference of the angle value is less than 1" (theoretically equal to 0), and the mutual ratio of the side lengths in nanometers is less than 0.00002 (theoretically equal to 0), and the screening object is a genuine product;

[0027] (2) Under the condition of no significant "difference", the comparison difference is: the absolute value difference of the side length nanometer number is 100~999nm, the angle value difference is 1~5", and the ratio value of the side length nanometer number is 0.00002~0.0001. The object of identification is a high-quality imitation;

[0028] (3) Under the condition of significant "difference", the comparison difference is: the absolute value difference of the side length nanometer numbers is greater than 999nm, the angle value difference is greater than 5", and the ratio of the side length nanometer numbers is greater than 0.0001. The object of identification is a low-quality imitation.

[0029] Through the above technical solutions, it can be known that compared with the prior art, the nano-digital identification method of handmade artwork images disclosed in the present invention solves the pain points and chronic diseases of "lack of integrity" that have long existed in the cultural and art industry, improves the integrity and trading confidence of the cultural and art trading market; avoids the defects of subjective identification by naked eyes of appreciation experts, and minimizes the influence of subjective factors; fills the deficiency of over-materialization of scientific instrument identification, solves the problem of irrelevance and separation of instrument identification from artistic performance characteristics; improves the timeliness, accuracy and scientificity of handmade artwork authenticity identification; improves the intelligence and digitalization level of handmade artwork identification; digitally processes the handmade artwork image within the locked range, and forms not biological fingerprints, but artistic fingerprints in the sense of artistic characteristics, which are difficult to transplant and forge on the basis of manual definition. Under this identification method, the reverse direction counterfeiting based on the forward path is irreversible under manual conditions; solves the problem of artificial information content editing and counterfeiting. The information used by this identification method in the identification process is derived from the most original and authentic traces of artistic creation itself, without any artificial text editing information, and does not leave any room for artificial information editing and counterfeiting. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0031] Figure 1 The accompanying drawing is a schematic diagram of the process of the nano-digital identification method for handmade artwork images of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] A method for nano-digitally identifying handcraft art images disclosed by the present invention includes the following steps:

[0034] S1. First, take comparison object images vertically from the front at the same angle and the same distance, then select local images of the same part, choose the main and secondary eyes at the feature points, and then construct a "nine-eye diagram";

[0035] S2. Measure / calculate the side lengths in nanometer units. There are 16 side lengths in each "nine-eye diagram". Measure / calculate the absolute values of the side lengths to obtain the numerical values of each side length;

[0036] S3. Measure / calculate the angle values. There are 24 angle values in each "nine-eye diagram". Measure / calculate the angle values to obtain the numerical value of each angle;

[0037] S4. Measure / calculate the ratios of the side lengths of the eight triangles in the "nine-eye diagram". There are 120 ratios of side lengths in each "nine-eye diagram". After measurement / calculation, 120 data are obtained;

[0038] S5. Compare the corresponding numerical values. A total of 160 data need to be compared for each "nine-eye diagram". Compare the absolute values of the side lengths, the angle values, and the ratios of the side lengths of the "nine-eye diagrams" in the two images correspondingly to obtain the comparison data and results;

[0039] S6. Multiple "nine-eye diagrams" can be constructed. Repeat the above measurement / calculation steps to obtain data, and then make comparisons;

[0040] S7. Conduct comprehensive analysis and research on the comparison data of multiple "nine-eye diagrams" and draw a conclusion for identification.

[0041] To further optimize the above technical solution, the concept of the "nine-eye diagram" in step S1: It refers to selecting nine eyes (the eyes refer to feature points or positions, the same below) or multiple eyes in the art image as star points, connecting the star points in adjacent and sequential order, and then forming a structure diagram similar to a spider web, which is collectively called the "nine-eye diagram". The "nine-eye diagram" is actually an "art fingerprint" with a manually defined range. The purpose is to digitalize the identification basis within the locked range, make the identification comparable and standardized, and enable the identification results to be based on objective data, thereby improving the accuracy, correctness, and scientific nature of art identification.

[0042] Furthermore, the "Nine-Eye Diagram" structure: Select the same part of the picture in two hand-made art images to be compared. First, find a place with obvious features (or the center as the main star eye) in the picture as a center point. Take the center point as the main eye (the positions of the main eyes of the two artworks to be compared are the same). In the four directions of up, down, left, and right, arbitrarily find eight places with obvious features (or the edge points as the secondary star eyes) as eight secondary eyes (the positions of the secondary eyes of the two artworks to be compared are the same). Then, connect the eight secondary eyes with the main eye respectively and connect the adjacent secondary eyes in sequence to form eight triangles of different shapes, constituting the "Nine-Eye Diagram". In practice, six or seven secondary eyes or nine, ten, or other different numbers of secondary eyes can also be taken to form eye diagrams with different numbers of eyes such as the Seven-Eye Diagram, the Eight-Eye Diagram, or the Ten-Eye Diagram, the Eleven-Eye Diagram, etc. The principle is the same and the method is the same. Here, they are collectively referred to as the "Nine-Eye Diagram" structure.

[0043] The application of the "Nine-Eye Diagram" image nano-digital discrimination method: Taking the nano unit as the measurement scale, select nine or more texture feature elements in the compared images to form a locked structural and layout range, form the "Nine-Eye Diagram", and perform nano-unit digital processing on these nine or more feature elements and their relationships to obtain recognizable and comparable data groups. According to the degree of difference in the data group values, it is obvious to draw a discrimination conclusion.

[0044] To further optimize the above technical solution, the key parameters in steps S2 - S5 mainly include the respective nano-digital side lengths of the eight triangles in the "Nine-Eye Diagram", the angle values of each triangle, and the nano-digital cross-ratio between the side lengths.

[0045] Specifically, in the "Nine-Eye Diagram" structure, assume that the vertices of each triangle are ABC respectively, forming eight ABC triangles. Among them, the absolute values of the side lengths AB, AC, and BC total 16, the angles of the three angles A, B, and C total 24, and the cross-ratios of AB / BC, AB / AC, and BC / AC total 120.

[0046] Furthermore, the "Nine-Eye Diagram" measurement / calculation method takes the nano as the basic unit and accurately measures / calculates the angles (including the three angle values), side lengths (the absolute value of each side length), and side length ratios (the cross-ratios of each side length) of each triangle. Each image has 8 x 3 = 24 angle values, 8 + 8 = 16 side length absolute values, and 15 + 14 + 13 + 12 + 11 + 10 + 9 + 8 + 7 + 6 + 5 + 4 + 3 + 2 + 1 = 120 side length ratios, with a total of 24 + 16 + 120 = 160 data; then compare the values calculated for the two images to obtain two sets of series comparison data and display the comparison results to show the conclusions of "low-quality imitation", "high-quality imitation", and "genuine product".

[0047] Further, the discrimination and comparison method: Calculate the above values through measurement / calculation, and then calculate the ratio of the absolute values of the corresponding triangle side lengths and the difference (subtraction value); calculate the ratio of the corresponding triangle angle values and the difference (subtraction value); calculate the ratio of the corresponding side length ratios and the difference (subtraction value).

[0048] To further optimize the above technical solution, the discrimination criteria and result description: The discrimination results of this method are generally divided into pre-results and post-results. The pre-results are simulated similarity or high similarity, and the post-results are consistency and difference.

[0049] The simulated similarity or high similarity: In the comparison of two images, when the features of nine eyes are the same or similar under simulated selection, it is called "similarity" or "high similarity".

[0050] The consistency: It is further divided into "consistency" and "sub-consistency". Specifically, in the comparison of two figures, when the absolute values of 16 side length nanometer numbers correspond equally, 24 angle values correspond equally, and the cross-ratios of 120 side length nanometer numbers correspond equally, it is called "consistency"; in the comparison of two images, when the absolute values of 16 side length nanometer numbers do not correspond equally, 24 angle values correspond equally, and the cross-ratios of 120 side length nanometer numbers correspond equally, it is called "sub-consistency".

[0051] The difference: In the comparison of two images, when the absolute values of 16 side length nanometer numbers do not correspond equally, 24 angle values do not correspond equally, and the cross-ratios of 120 side length nanometer numbers do not correspond equally, it is called "difference".

[0052] In practical operations, "difference" can be further divided into insignificant "difference" and significant "difference". Insignificant "difference" is generally regarded as a high imitation, and significant "difference" is generally regarded as a low imitation. Generally, "consistency" and "sub-consistency" both belong to genuine products, so in the present invention, the two are collectively referred to as "consistency".

[0053] The theoretically discrimination criteria:

[0054] (1) During the discrimination process, when taking pictures and the vertical front angle and distance remain unchanged, if the absolute values of the side length nanometer numbers are equal, the angle values are equal, and the ratios of the side length nanometer numbers are equal, and the comparison difference is 0, a conclusion of "consistency" is obtained, and the discrimination object is a genuine product.

[0055] (2) During the screening process, when taking pictures for image acquisition, if the vertical front angle remains unchanged but the distance changes, the absolute values of the nanometer-scale side lengths are not equal, the angle values are equal, and the ratios of the nanometer-scale side lengths are equal. The absolute value difference in the comparison of the nanometer-scale side lengths is not 0, and the difference in the comparison of the angle values and the ratios of the nanometer-scale side lengths is 0. The conclusion of "sub-consistency" is drawn, and the screening object is also a genuine product. Therefore, in terms of the screening significance, "sub-consistency" and "consistency" should have the same effect.

[0056] (3) During the screening process, when conducting numerical comparisons, as long as there are 42 or fewer pairs of unequal values among 120 pairs of side length mutual comparisons, and the difference ratio is equal to or less than 35%, which is equivalent to only one of the eight sub-eyes not conforming, a conclusion of insignificant "difference" is drawn, and the screening object is generally regarded as a high imitation.

[0057] (4) During the screening process, when conducting numerical comparisons, as long as there are more than 42 pairs of unequal values among 120 pairs of side length mutual comparisons, and the difference ratio is greater than 35%, which is equivalent to more than two of the eight sub-eyes not conforming, a conclusion of significant "difference" is drawn, and the screening object is generally regarded as a low imitation.

[0058] The above-mentioned practical screening criteria: After comparing 30,535 groups (two images as a group, the same below) of target artworks through in-person screening tests, there are 30,059 groups with significant differences, 476 groups with insignificant differences, and 0 groups with consistency. (The specific experimental data are shown in Table 1: Nanometer-scale Digital Screening Experimental Data of Different Types of Handmade Artworks).

[0059] The experimental results show that the probability of the same artist painting the same image twice by hand and getting exactly the same result is 0. After comprehensive analysis and research of the experimental data, considering the possible influencing factors and error factors in practical operations, the reference range of the screening criteria is as follows:

[0060] (1) Under the condition of "consistency", the comparison differences are as follows: the absolute value difference of the nanometer-scale side lengths is 0 - 100 nm (theoretically equal to 0), the angle value difference is less than 1" (theoretically equal to 0), and the mutual ratio of the nanometer-scale side lengths is less than 0.00002 (theoretically equal to 0), and the screening object is a genuine product.

[0061] (2) Under the condition of insignificant "difference", the comparison differences are as follows: the absolute value difference of the nanometer-scale side lengths is 100 - 999 nm, the angle value difference is 1 - 5", and the mutual ratio of the nanometer-scale side lengths is 0.00002 - 0.0001, and the screening object is a high imitation.

[0062] (3) Under the condition of significant "difference", the comparison differences are as follows: the absolute value difference of the nanometer-scale side lengths is greater than 999 nm, the angle value difference is greater than 5", and the mutual ratio of the nanometer-scale side lengths is greater than 0.0001, and the screening object is a low imitation.

[0063] In the said practical operation procedure, after the nano-digitization screening of the simulated image "high similarity" situation, the final outcome may transition to "consistency", or may transition to significant "differences" or insignificant "differences". Specifically, the transition logic is as follows:

[0064] (1) Screening from simulated "similarity" → "high similarity" → "consistency" (genuine product);

[0065] (2) Screening from simulated "similarity" → "high similarity" → significant "differences" (low-quality imitation);

[0066] (3) Screening from simulated "similarity" → "high similarity" → insignificant "differences" (high-quality imitation). Low-quality imitations can sometimes be identified even by the naked eye, so the real significance of this nano-digitization screening method lies in distinguishing "genuine products" and "high-quality imitations".

[0067] The nano-technology adopted by the above-mentioned nano-digitization screening method for handicraft images, that is, the texture detail features, star-eye spacing and their ratios on the handicraft images are measured / calculated in nano-units. The results of the measurement / calculation are difficult to break through by general forgery techniques. Because it is feasible and relatively easy to measure / calculate the nano-scale distance between two known points (or the nano-scale area of selected detail features) with tools. On the contrary, it is not feasible to replicate by hand according to the same nano-size knowing the nano-scale distance, and it is simply impossible under the conditions of the naked eye and manual operation. Slight differences or changes can be revealed at the nano-scale level. Therefore, the nano-digitization screening method makes it irreversible to attempt to forge in the reverse path. Therefore, this method constructs the feasibility, accuracy, scientificity and evidentiary nature of artworks screening that cannot be questioned in practice, technology and judicature.

[0068] Table 1 Nano-digitization screening experimental data of different types of handicrafts

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076] Experimental data results: The above data show that under the conditions of nano-digital identification method, the significant difference accounts for 98.4411%, the insignificant difference accounts for 1.5588%, and the consistency accounts for 0. The results show that for the same author, the probability of manually creating two works with exactly the same pattern is 0. It conforms to the natural law that "there are no two identical leaves in the world." Therefore, it is impossible to imitate or counterfeit the same pattern to achieve the same silk pattern or millimeter (referring to the nanometer level) under the conditions of manual production, and it is also impossible to reversely counterfeit known nanometer-level data.

[0077] The method for nano-digital identification of handmade artwork images disclosed in the present invention is used to solve the problem of distortion caused by excessive subjectivity in the identification of handmade artworks; avoid the defects and shortcomings of existing scientific instruments in the identification of handmade artworks; upgrade from forgeable analog feature identification to unattainable nano-digital identification; at the same time, compress the space for counterfeiting, inhibit imitation and imitation, and cut off the path of reverse counterfeiting and simulation; innovate and establish new methods and standards for the identification of handmade artworks.

[0078] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for nano-digital identification of handmade artwork images, characterized in that: The following steps are involved: S1. First, take a vertical frontal shot of the object to be compared at the same angle and distance, then select a partial picture of the same part, choose the feature as the primary and secondary eyes, and then construct a "nine-eye picture"; S2. Use nanometer units to measure / calculate the side lengths. There are 16 side lengths in each "nine-eye diagram". Measure / calculate the absolute value of the side lengths to obtain the value of each side length. S3. Measure / calculate the angle value. There are 24 angle values ​​in each "nine-eye diagram". The angle values ​​are measured / calculated to obtain the value of each angle. S4. Measure / calculate the ratio of the side lengths of the eight triangles in the "Nine-Eye Diagram". There are 120 side length ratios in each "Nine-Eye Diagram", and 120 data are obtained after measurement / calculation; S5. Compare the corresponding values. There are 160 data in total for each "Nine-eye Image" that need to be compared. Compare the absolute value of the side length, angle value and side length ratio of the "Nine-eye Image" in the two images accordingly to obtain the comparison data and results; S6. You can build multiple "nine-eye diagrams" and repeat the above measurement / calculation steps to obtain data, and then compare them; S7. Conduct comprehensive analysis and research on multiple "Nine-Eye Chart" comparison data and draw identification conclusions.

2. The method for nano-digital identification of handmade artwork images according to claim 1, characterized in that: The structure of the "nine-eye diagram" in step S1 is as follows: the same part of the picture is selected in two similar hand-made artwork images for comparison, and a place with obvious features (or the center is the main star eye) is first found in the picture as a center point, and the center point is used as the main eye (the positions of the main eyes of the two compared artworks are consistent), and eight places with obvious features (or edge points are secondary star eyes) are randomly found in the four directions of up, down, left, right and around as eight secondary eyes (the positions of the secondary eyes of the two compared artworks are consistent), and then the eight secondary eyes are connected to the main eye respectively, and the adjacent secondary eyes are connected in sequence to form eight triangles of different shapes, forming a "nine-eye diagram".

3. The method for nano-digital identification of handmade artwork images according to claim 1, characterized in that: The key parameters in steps S2-S4 mainly include the nanometer digital side length values ​​of the eight triangles in the "nine-eye diagram", the nanometer digital mutual ratio values ​​between the angle values ​​and side lengths of each triangle.

4. The method for nano-digital identification of handmade artwork images according to claim 1, characterized in that: The identification and comparison method in step S5 is: the above values ​​are obtained through measurement / calculation, and then the corresponding absolute value ratio of the triangle side lengths is calculated to calculate the difference (subtraction value); the corresponding angle value ratio of the triangle is calculated to calculate the difference (subtraction value); the corresponding side length ratio ratio is calculated to calculate the difference (subtraction value).

5. The method for nano-digital identification of handmade artwork images according to claim 1 or 4, characterized in that: Description of the screening criteria and results in step S5: The screening results are generally divided into pre-results and post-results. The pre-results are simulated similarity or high similarity, and the post-results are consistency and difference.

6. The method for nano-digital identification of handmade artwork images according to claim 5, characterized in that: The "difference" can be further divided into insignificant "difference" and significant "difference". Insignificant "difference" is generally regarded as a high-quality imitation, and significant "difference" is generally regarded as a low-quality imitation. In general, "consistency" and "sub-consistency" are collectively referred to as "consistency" and are all genuine products.

7. The method for nano-digital identification of handmade artwork images according to claim 1, characterized in that: The screening conclusion in step 7 is divided into theoretical screening standards and practical screening standards.

8. The method for nano-digital identification of handmade artwork images according to claim 7, characterized in that: The theoretical screening criteria are: (1) During the identification process, if the vertical front angle and distance remain unchanged when taking photos, the absolute value of the side length nanometer numbers are equal, the angle values ​​are equal, and the ratio of the side length nanometer numbers is equal, the comparison difference is 0, and the conclusion of "consistency" is obtained, and the identification object is authentic; (2) During the identification process, if the vertical front angle remains unchanged but the distance changes when taking pictures, the absolute values ​​of the side length nanometer numbers are not equal, the angle values ​​are equal, the ratio of the side length nanometer numbers is equal, the absolute value difference of the side length nanometer numbers is not 0, and the ratio difference of the angle value and the side length nanometer numbers is 0, then the conclusion of "sub-consistency" is obtained and the identification object is also authentic; (3) During the screening process, when comparing values, as long as there are 42 or less pairs of values ​​out of 120 pairs of values ​​of the side lengths that are not equal, and the difference ratio is equal to or less than 35%, it is equivalent to only one pair of eyes out of eight, and the conclusion of "insignificant difference" is obtained, and the screening object is generally regarded as a high-quality imitation; (4) During the identification process, when comparing values, as long as more than 42 pairs of values ​​out of 120 pairs of values ​​of the side lengths are not equal, and the difference accounts for more than 35%, which is equivalent to more than two of the eight secondary eyes not matching, a significant "difference" conclusion is drawn, and the identification object is generally regarded as a low-quality imitation.

9. The method for nano-digital identification of handmade artwork images according to claim 6, characterized in that: The practical screening criteria are: (1) Under the "consistency" condition, the comparison difference is: the absolute value difference of the side length nanometer numbers is 0-100nm (theoretically equal to 0), the angle value difference is less than 1" (theoretically equal to 0), and the ratio of the side length nanometer numbers is less than 0.00002 (theoretically equal to 0), and the object of identification is authentic; (2) Under the condition of no significant "difference", the comparison difference is: the absolute value difference of the side length nanometer number is 100~999nm, the angle value difference is 1~5", and the ratio value of the side length nanometer number is 0.00002~0.0001. The object of identification is a high-quality imitation; (3) Under the condition of significant "difference", the comparison difference is: the absolute value difference of the side length nanometer numbers is greater than 999nm, the angle value difference is greater than 5", and the ratio of the side length nanometer numbers is greater than 0.0001. The object of identification is a low-quality imitation.

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