CN102955930A - Anti-counterfeiting method and system by identification by self-physical characteristics of substance - Google Patents
Anti-counterfeiting method and system by identification by self-physical characteristics of substance Download PDFInfo
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- CN102955930A CN102955930A CN2011102398170A CN201110239817A CN102955930A CN 102955930 A CN102955930 A CN 102955930A CN 2011102398170 A CN2011102398170 A CN 2011102398170A CN 201110239817 A CN201110239817 A CN 201110239817A CN 102955930 A CN102955930 A CN 102955930A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/2033—Matching unique patterns, i.e. patterns that are unique to each individual paper
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
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Abstract
The invention discloses anti-counterfeiting method and system by identification by self-physical characteristics of a substance. The substance is light-transmittable. The anti-counterfeiting method includes the steps of pre-determining a position of acquiring physical characteristics on the substance to be identified, placing the substance to be identified among a light source, an optical system of an acquired image and an optical sensor, and acquiring an acquired physical characteristic image after transmission; processing the physical characteristic image, extracting data of physical characteristics, and recording to a characteristics database or recording on the substance by two-dimensional codes; and performing pattern identification to the data of physical characteristics, which are recorded and stored in the characteristic database or the two-dimensional codes, and judging whether the data are consistent or not to judge authenticity of the substance. Image acquisition of physical characteristics of the substance can be achieved at low cost by transmission on the light-transmittable substance, and anti-counterfeiting identification of the substance is achieved by corresponding pattern identification.
Description
Technical field
The present invention relates to a kind of physics method for anti-counterfeit and system to material, in particular a kind of physical features of material self that utilizes is realized false proof method and system.
Background technology
Paper false proof of the prior art or bill anti-counterfeit, mainly all be raw material or the special paper by adding special control, reach false proof purpose by the strict control to raw material or correlation technique, for example in paper, add fluorescent fiber to realize the uniqueness to physical features.
But when additionally adopting certain physical features raw material or technology to control to realize paper false proof, as add fluorescent fiber, the processing technology that needs high requirement, require high to production cost and technical merit, the systematization of its realization requires complicated, need to increase extra adding procedure to traditional paper technology, and technique is too complicated, increase simultaneously the cost of paper, the yardstick of various fibers is at micron order as shown in Figure 1.From technical elements, in fact, since a side can produce associated materials, the counterfeiter also just may produce equally, along with the progress of science and technology, the exclusive property of a technique almost is impossible, and the counterfeiter also can obtain related physical feature raw material and technology by other approach.
Therefore for above-mentioned technological deficiency, the inventor adopts the mode implementation pattern identification of fiber pattern of optically detecting paper itself and false proof, and these characteristic informations all are self-assembling formations in the paper-making process, adopt simultaneously transmitted light source acquisition characteristics image, these characteristic images have reacted the information of the solid of paper, and transmission image information that paper obtains can effectively be resisted the attack of printing sheets texture.Therefore, prior art has yet to be improved and developed.
Summary of the invention
The object of the present invention is to provide a kind of method for anti-counterfeit and system that utilizes the identification of material self physical features, the physical features of employing own carries out false proof technology for need not additionally to increase other anti-counterfeit structures, searching is suitable for the low-cost technological means that realizes, to realize the false proof discriminating such as materials such as paper.
Technical scheme of the present invention is as follows:
A kind of method for anti-counterfeit that utilizes the identification of material self physical features, described material light-permeable; Its method may further comprise the steps:
A, pre-determine the position that gathers physical features at material to be identified, material to be identified is placed between the optical system and optical sensor of light source and collection image, obtain the physical features image that optically detecting arrives after the transmission;
B, the physical features image is carried out image process, the extracts physical characteristics data, and be recorded to property data base;
C, when differentiating this material true and false, the optical system by steps A adopts same multiple, at its physical features image of same position acquisition, and carries out same view data and processes, and extracts the physical features data in the image;
D, with property data base in the physical features data of record storage carry out pattern-recognition, whether interpretation consistent, to judge the true and false of this material.
Described method for anti-counterfeit, wherein, described physical features comprises texture, density, height and/or color.
Described method for anti-counterfeit, wherein, described material is paper, plastic foil, plastic cards or cloth sheet.
Described method for anti-counterfeit, wherein, when obtaining the physical features image in the described steps A, prearranged multiple is amplified in described optical system employing, the equal big or small multiple mode of prearranged multiple or maintenance and material object of dwindling is obtained the physical features image.
Described method for anti-counterfeit, wherein, when obtaining the physical features image in the described steps A, described optical system adopts indefinite enlargement factor, and carries out record in described physical features data.
Described method for anti-counterfeit wherein, also is logged into described physical features data in the two-dimension code in step B and is printed on the described material surface to be identified, and judges contrast identification by the data that read in the two-dimension code in step D.
Described method for anti-counterfeit wherein, is logged in the two-dimension code after described physical features data also are encrypted computing again.
A kind of Antiforge system that utilizes the identification of material self physical features, wherein, described material light-permeable; And comprise:
The property data base of one pre-stored physical features data data;
One optical system and an optical sensor, and a light source, described material to be identified is placed between optical system and the light source; Described optical system is used for material to be detected is located, and the material transmission image of this position is adjusted clear, obtains this physical features image by described optical sensor;
One image processing module is used for described physical features image is treated as the physical features data;
Whether consistent one pattern recognition module is used for comparing the physical features data that corresponding physics characteristic that described property data base stores and described image processing module generate, and judges the true and false of described material to be detected.
Described Antiforge system, wherein, described physical features comprises texture, density, height and/or color; Described material is paper, plastic foil, plastic cards or cloth sheet.
Described Antiforge system wherein, also is printed with the two-dimension code of the described physical features data of record on described material surface.
A kind of method for anti-counterfeit and system that utilizes the identification of material self physical features provided by the present invention, owing to having adopted on the material of light-permeable, can realize cheaply image acquisition to its physical features by transmission, and by after the corresponding pattern-recognition, realize the false proof discriminating of the material true and false.
Description of drawings
Fig. 1 is the metering form schematic diagram of fiber parameter in the prior art.
Fig. 2 is the schematic flow sheet that the present invention utilizes the method for anti-counterfeit of material self physical features identification.
Fig. 3 is that the present invention utilizes the optical system structure schematic diagram in the method for anti-counterfeit of material self physical features identification.
Fig. 4 is that the present invention utilizes paper enlarged diagram in the preferred embodiment of the method for anti-counterfeit of material self physical features identification and system.
Fig. 5 is the Antiforge system structural representation that the present invention utilizes the identification of material self physical features.
Embodiment
Below preferred embodiment of the present invention is described in detail.
The present invention utilizes method for anti-counterfeit and the system of material self physical features identification, its objective is and utilize the uniqueness characteristic obtain label self physical features that the light-permeable material makes, come its true and false of unique identification by the transmission optics system, the cost of its realization of this kind technology is low, easily realize, and the easier identifying processing of image effect.
The inventive method and system utilize the physical features of material self, and such as its texture, density, height and/or color etc. need not extra anti-fake material, after identifying its physical features image, carry out digitized processing, form the physics characteristic, to realize the function of antifalsification label.The realization of the false proof mode of this kind can't be by the methods such as fluorescent ink printing clone, and the cost of simultaneously its realization can reach again enough low.This digitized processing procedure, those of ordinary skills know in the prior art, such as, after obtaining the fiber pattern image, can obtain the distributed intelligence of fiber, the trend of fiber, flexibility, length etc., these information can be used as the Characteristic of Image data and extract.Because the distribution of fiber is full stochastic process, be the will of " God ", therefore just there is not the identical paper of fiber distribution.For another example, if when in the characteristic informations such as its density, height and color one or more are made up identification, just can obtain unique recognition result, the physical features data after its processing are unique.
Take paper as example, contain a large amount of vegetable fibres in the paper, these fibers are lack of alignment in process of production, and are difficult to by manually carrying out imitated in batches.Even by ink print, there is not resolution to be large enough to clone physical features in the amplification situation yet; Even if enough print resolution are arranged, can in limited area, print the form of fiber, because the present invention adopts transmitted light, the image that collects also will be counterfeit information comprehensive of forging the fibre morphology information of paper itself and printing, and the simple counterfeit information of printing is that the physical features data of impossible and original genuine paper are identical with information.If can be in advance textural characteristics in paper is determined certain zone, and with this feature digitizing, just can utilize this digitalized signature to carry out truth identification.
Be illustrated in figure 4 as the paper physical characteristic image in the optical amplifier situation.Can find out from this physical features image, the texture of fiber is more clearly, and is unordered.Process, after the method for pattern-recognition processes it, just can extract the fibre image feature by image, carry out the number processing, for truth identification after this.This processing is comparatively common processing procedure, for example after obtaining fibre image, can obtain the distributed intelligence of fiber, the trend of fiber, flexibility, length etc., and these information can be used as the Characteristic of Image data.Certainly can also use the statistical method of a lot of classics, such as gray level co-occurrence matrixes, Hu displacement etc. not, the classic algorithm of perhaps using image local feature to describe: SIFT or SURF etc., these algorithms are common by prior art, do not repeat them here.
The present invention utilizes the method for anti-counterfeit of material self physical features identification, mainly for the material of light-permeable, adopts the optically detecting mode of transmission, and as shown in Figures 2 and 3, it has comprised following steps:
At first, pre-determine the position that gathers physical features and the predetermined enlargement factor that is enough to the physical features of recognition material own at material to be identified, material to be identified is placed on light source and gathers between the optical system and optical sensor of image, obtain the physical features image that optically detecting arrives after the transmission; Should predetermined enlargement factor not necessarily amplify, also can be to dwindle or maintain the original state, and do not amplify and dwindle and carry out imaging.Why can not amplify the collection of carrying out the physical features image, when reason is to adopt transmission mode, the physical features image that printing opacity forms is more clear, no longer need necessarily to amplify how many multiples and can obtain clearly physical features image, compare the image acquisition that adopts the reflected illumination mode, the cost requirement of its realization is very low, and to all greatly reductions of requirement of optical system and optical sensor, an illuminance that only needs to improve light source can form clearly physical features image.
Then, the physical features image that collects is carried out digitized processing, extract physical features data wherein, and be recorded to property data base; When differentiating this material true and false, by above-mentioned transmission type optical system this material is adopted same enlargement factor equally, and at same position acquisition physical features image, adopt same feature extracting method to carry out digitized processing, to obtain physical features data to be identified.
Pre-stored physical features data are carried out pattern-recognition and are compared in the physical features data that this is to be identified and the property data base, judge if can access consistance, can judge that then this material is true, otherwise be puppet.Like this to the important material such as bill, card even cloth for example collectibles just can carry out anti-counterfeit recognition, this identification need not depend on the special processing of anti-counterfeiting technology technique, just improving identification equipment gets final product, realized uniqueness and the antifalsification of utilizing physical features to identify, and the equipment cost that realizes has practical low-cost characteristics, and the physical features image false-proof effect of realization is splendid.
In the method for anti-counterfeit and system that utilizes material self physical features identification of the present invention, described material can adopt the physical support of any light-permeable, paper for example, the cloth sheet, the article that plastic foil or plastic cards etc. are transparent or semitransparent, especially for the physics identification of collectibles itself, will have actual especially meaning.Physical features in the above-mentioned physical features image generally includes fiber pattern, density and/or frequency etc.
The present invention utilizes in the method for anti-counterfeit of material self physical features identification, better way of example is, in above-mentioned optical sensor and optical system, do not adopt fixing enlargement factor (yet comprising minification) when obtaining the physical features image, but adopt unfixed enlargement factor, namely change multiple according to the multiple scope that can identify the physics characteristic and gather the physical features image, record simultaneously its multiple, simultaneously must its enlargement factor of record in the resulting like this physical features data.Thus, also adopt same multiple to carry out collection and the identification of image when identification, this mode itself has just increased the difficulty of copying.
Anti-counterfeit recognition when preventing that network is unavailable can not be carried out, but it is a kind of in the alternative anti-counterfeit recognition scheme without the network time spent that method for anti-counterfeit of the present invention also provides, soon the physical features data after the digitized processing are recorded in the two-dimension code, and this two-dimension code is printed onto material surface to be identified; When pattern-recognition, identify contrast by the data that read in this two-dimension code, certainly, for increasing the anti-counterfeiting performance of data, also can carry out first cryptographic calculation to the data of putting down in writing in this two-dimension code.So, when not having the state of networking, can directly by after the record and pattern-recognition to two-dimension code, judge the true or false of article.It is the database of the independent data of record that this two-dimension code can be understood as.
The present invention utilizes the Antiforge system of material self physical features identification, such as Fig. 2 and shown in Figure 5, it is for the anti-counterfeiting substances to be identified of light-permeable, setting comprises: the property data base of pre-stored physical features data in the accessing Internet, set in advance the identifying processing of several feature extractions, printing device, the physical features data after the identification are stored in this property data base.Be provided with optical system and optical sensor in each described feature extraction, the printing device, and light source, described material to be identified is placed between optical system and the light source, described optical system is used for the image of transmission is adjusted sharpening, can adjust image according to predetermined enlargement factor, amplify and obtain the physical features image through precalculated position and the predetermined enlargement factor that is enough to the physical features of recognition material own; Described optical sensor is obtained the physical features image of this predetermined enlargement factor; And an image processing module is used for described physical features image is treated as the physical features data, and this processing procedure is that prior art is known, does not repeat them here; One pattern recognition module is used for comparing the storage data of described property data base and the physical features data that described image processing module generates, and judges the true and false of described material to be detected, if obtain that consistance is judged then be true, otherwise is false.
The Authentication devices that is used for distinguishing true from false also arranges same optical system, optical sensor and light source, in order to carry out identical Image Acquisition action and image processing process.The pattern-recognition mode of described pattern recognition module can but be not limited to classical theory of statistics method or local feature description's method (SIFT or SURF) or svm classifier device etc.The algorithm of these pattern-recognitions is just given unnecessary details no longer one by one classifying too much in the technology at present.
Described Authentication devices be used to distinguishing true from false can adopt the mode of on line, obtains data to be verified from property data base, compares; Also can adopt offline mode, from be printed on the two-dimension code that material shows, obtain physical features data to be contrasted.
Utilize material (paper) itself textural characteristics carry out the false proof very large benefit that has: at first, do not re-use other anti-fake material, can Decrease production cost.Secondly, use the fiber characteristics of paper, also make counterfeiter's counterfeit cost become unusually high, feel, thickness that the counterfeiter can counterfeit paper, but be difficult to the arrangement texture of counterfeit paper fibre itself.Moreover, owing to there not being the adding of other anti-fake material, also can reducing counterfeit manufacture of materials person itself and carry out counterfeit possibility.
The present invention utilizes in the method for anti-counterfeit and system of material self physical features identification, being amplified to predetermined enlargement factor in the precalculated position with material carrier or label (or dwindles, or identical multiple) after, can form certain physical features image, owing to having adopted the optical system of transmission, this physical features image easily obtains, has unique unique recognition feature, and be the physical characteristics of material itself, other people can't copy imitative in batches, also can not clone by the mode of fluorescent printing and copy, guarantee the identification uniqueness of material carrier, especially be fit to the false proof of the valuable article such as painting and calligraphy collection product and important identity document (such as passport etc.).
Should be understood that, for those of ordinary skills, can be improved according to the above description or conversion, and all these improvement and conversion all should belong to the protection domain of claims of the present invention.
Claims (10)
1. method for anti-counterfeit that utilizes material self physical features identification, described material light-permeable; Its method may further comprise the steps:
A, pre-determine the position that gathers physical features at material to be identified, material to be identified is placed between the optical system and optical sensor of light source and collection image, obtain the physical features image that optically detecting arrives after the transmission;
B, the physical features image is carried out image process, the extracts physical characteristics data, and be recorded in property data base or the two-dimension code;
C, when differentiating this material true and false, the optical system by steps A adopts same multiple, at its physical features image of same position acquisition, and carries out same view data and processes, and extracts the physical features data in the image;
D, with property data base or two-dimension code in the physical features data of record storage carry out pattern-recognition, whether interpretation consistent, to judge the true and false of this material.
2. method for anti-counterfeit according to claim 1 is characterized in that, described physical features comprises texture, density, height and/or color.
3. method for anti-counterfeit according to claim 1 and 2 is characterized in that, described material is paper, plastic foil, plastic cards or cloth sheet.
4. method for anti-counterfeit according to claim 1, it is characterized in that, when obtaining the physical features image in the described steps A, prearranged multiple is amplified in described optical system employing, the equal big or small multiple mode of prearranged multiple or maintenance and material object of dwindling is obtained the physical features image.
5. method for anti-counterfeit according to claim 1 is characterized in that, when obtaining the physical features image in the described steps A, described optical system adopts indefinite enlargement factor, and carries out record in described physical features data.
6. method for anti-counterfeit according to claim 1, it is characterized in that, in step B, also be logged into described physical features data in the two-dimension code and be printed on the described material surface to be identified, and in step D, judge contrast identification by the data that read in the two-dimension code.
7. method for anti-counterfeit according to claim 6 is characterized in that, is logged in the two-dimension code after described physical features data also are encrypted computing again.
8. an Antiforge system that utilizes the identification of material self physical features is characterized in that described material light-permeable; And comprise:
The property data base of one pre-stored physical features data;
One optical system and an optical sensor, and a light source, described material to be identified is placed between optical system and the light source; Described optical system is used for material to be detected is located, and the material transmission image of this position is adjusted clear, obtains this physical features image by described optical sensor;
One image processing module is used for described physical features image is treated as the physical features data;
Whether consistent one pattern recognition module is used for comparing the physical features data that corresponding physics characteristic that described property data base stores and described image processing module generate, and judges the true and false of described material to be detected.
9. Antiforge system according to claim 8 is characterized in that, described physical features comprises texture, density, height and/or color; Described material is paper, plastic foil, plastic cards or cloth sheet.
10. Antiforge system according to claim 8 is characterized in that, also is printed with the two-dimension code of the described physical features data of record on described material surface.
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CN201110239817.0A CN102955930B (en) | 2011-08-21 | 2011-08-21 | Anti-counterfeiting method and system using physical characteristics of substance to identify |
PCT/CN2011/082140 WO2012083769A1 (en) | 2010-12-24 | 2011-11-14 | Method and system for anti-counterfeiting through physical characteristics of substance |
US13/924,946 US9269161B2 (en) | 2010-12-24 | 2013-06-24 | Anti-counterfeiting test method, device and system based on textures |
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Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106981250A (en) * | 2016-10-10 | 2017-07-25 | 宋育锋 | Antifalsification label based on article surface texture |
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1332434A (en) * | 2001-08-20 | 2002-01-23 | 曹义东 | Anti-fake method |
CN1430175A (en) * | 2001-12-30 | 2003-07-16 | 北京兆日科技有限责任公司 | Encryption antiforgery method based on substance characteristics |
CN1622106A (en) * | 2003-11-28 | 2005-06-01 | 海南奔想科技有限公司 | Structural texture false proof method |
CN1916975A (en) * | 2006-09-13 | 2007-02-21 | 顾泽苍 | Processing method for guiding against false of paper currency |
CN1957381A (en) * | 2004-05-11 | 2007-05-02 | 西格诺普蒂克科技公司 | Method for recognition and tracking of fibrous media and applications of such a method in the information technology |
CN101208960A (en) * | 2005-05-10 | 2008-06-25 | 江良一成 | Stereographic view image generation device and program |
US20100272357A1 (en) * | 2006-07-28 | 2010-10-28 | University Of New Brunswick | Method of image segmentation |
CN102016814A (en) * | 2005-06-17 | 2011-04-13 | 北卡罗来纳大学查珀尔希尔分校 | Nanoparticle fabrication methods, systems, and materials |
CN102073865A (en) * | 2010-12-24 | 2011-05-25 | 兆日科技(深圳)有限公司 | Anti-counterfeiting method and system using autologous fiber textures of paper |
-
2011
- 2011-08-21 CN CN201110239817.0A patent/CN102955930B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1332434A (en) * | 2001-08-20 | 2002-01-23 | 曹义东 | Anti-fake method |
CN1430175A (en) * | 2001-12-30 | 2003-07-16 | 北京兆日科技有限责任公司 | Encryption antiforgery method based on substance characteristics |
CN1622106A (en) * | 2003-11-28 | 2005-06-01 | 海南奔想科技有限公司 | Structural texture false proof method |
CN1957381A (en) * | 2004-05-11 | 2007-05-02 | 西格诺普蒂克科技公司 | Method for recognition and tracking of fibrous media and applications of such a method in the information technology |
CN101208960A (en) * | 2005-05-10 | 2008-06-25 | 江良一成 | Stereographic view image generation device and program |
CN102016814A (en) * | 2005-06-17 | 2011-04-13 | 北卡罗来纳大学查珀尔希尔分校 | Nanoparticle fabrication methods, systems, and materials |
US20100272357A1 (en) * | 2006-07-28 | 2010-10-28 | University Of New Brunswick | Method of image segmentation |
CN1916975A (en) * | 2006-09-13 | 2007-02-21 | 顾泽苍 | Processing method for guiding against false of paper currency |
CN102073865A (en) * | 2010-12-24 | 2011-05-25 | 兆日科技(深圳)有限公司 | Anti-counterfeiting method and system using autologous fiber textures of paper |
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CN107545438A (en) * | 2016-06-26 | 2018-01-05 | 李朝宗 | A kind of high-fidelity anti-counterfeiting technology of brand packaging for foodstuff |
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CN107545440A (en) * | 2016-06-26 | 2018-01-05 | 李朝宗 | A kind of high-fidelity anti-counterfeiting technology of cigarette |
CN106981250A (en) * | 2016-10-10 | 2017-07-25 | 宋育锋 | Antifalsification label based on article surface texture |
CN106815731A (en) * | 2016-12-27 | 2017-06-09 | 华中科技大学 | A kind of label anti-counterfeit system and method based on SURF Image Feature Matchings |
CN110012048A (en) * | 2018-11-22 | 2019-07-12 | 阿里巴巴集团控股有限公司 | Message identification code generation method, device, electronic equipment and computer storage medium |
CN110012048B (en) * | 2018-11-22 | 2021-11-12 | 创新先进技术有限公司 | Information identification code generation method and device, electronic equipment and computer storage medium |
CN111766254A (en) * | 2019-04-01 | 2020-10-13 | 深圳兆日科技股份有限公司 | Paper detection method and device and computer readable storage medium |
CN111767762A (en) * | 2019-04-01 | 2020-10-13 | 深圳兆日科技股份有限公司 | Mobile terminal, method and system for controlling light emitter, and readable storage medium |
CN113870479A (en) * | 2021-08-31 | 2021-12-31 | 中钞印制技术研究院有限公司 | Anti-counterfeiting paper identification method and device, electronic equipment and readable storage medium |
CN113870479B (en) * | 2021-08-31 | 2023-06-13 | 中钞印制技术研究院有限公司 | Anti-counterfeit paper authentication method and device, electronic equipment and readable storage medium |
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