CN110008774A - A kind of gravure anti-fake label recognition methods - Google Patents
A kind of gravure anti-fake label recognition methods Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 31
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- 238000010191 image analysis Methods 0.000 claims description 3
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- 239000000284 extract Substances 0.000 abstract description 4
- 238000002372 labelling Methods 0.000 description 5
- 239000003086 colorant Substances 0.000 description 4
- 238000007646 gravure printing Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004806 packaging method and process Methods 0.000 description 2
- PLXMOAALOJOTIY-FPTXNFDTSA-N Aesculin Natural products OC[C@@H]1[C@@H](O)[C@H](O)[C@@H](O)[C@H](O)[C@H]1Oc2cc3C=CC(=O)Oc3cc2O PLXMOAALOJOTIY-FPTXNFDTSA-N 0.000 description 1
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- 238000007645 offset printing Methods 0.000 description 1
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- 230000003362 replicative effect Effects 0.000 description 1
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- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
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Abstract
The invention discloses a kind of gravure anti-fake label recognition methods, preset anti-counterfeiting identification code is formed by point all or part of in gravure pattern and/or line, and the information of preset anti-counterfeiting identification code has been pre-stored in the background data base of image recognition APP, image recognition APP is installed in the intelligent terminal of included camera, the anti-counterfeiting identification code being hidden in gravure line is scanned using camera, extract anti-counterfeiting identification code color range and/or form and aspect and/or saturation degree and form the histogram of comparison, standard histogram corresponding with certified products compares again, judge the true and false of anti-fake label, neither influence product design aesthetic feeling, anti-counterfeit recognition is not influenced again.
Description
Technical field
The present invention relates to anti-counterfeit recognition technical fields, are a kind of gravure anti-fake label recognition methods specifically.
Background technique
Anti-fake label scientific name anti-counterfeiting mark also known as anti-false trademark are to paste, print, shifting in subject matter surface or mark
Object packaging or subject matter adjunct (such as commodity are listed, business card and antifake certificate card) on, the mark with anti-fake effect.It is anti-
The anti-counterfeiting characteristic of pseudo- labeling and know the soul that method for distinguishing is anti-fake label, it is anti-fake be to those for the purpose of deception and without
Owner permits, and carries out the Prevention method that activity that is imitated or replicating is taken.
Two major classes can be divided into such a way that anti-fake label carries out anti-counterfeit recognition in existing technology: eye recognition, machine
Device identification.Eye recognition, it is anti-with this to judge intuitively to observe the elements such as pattern, shape, size, the color of anti-fake label
The pseudo- associated subject matter of labeling it is true and false, directly, conveniently, but not require nothing more than the personal element for understanding anti-fake label special for eye recognition
Sign also needs certain comparison experience, and disturbing factor is more, accuracy of judgement difficulty is larger, is easy to be imitated.Machine recognition again may be used
It is divided into intelligent terminal identification and special equipment identification.In general, the anti-counterfeiting information crypticity of special equipment identification is good, anti-fake label is not
It is easily imitated, anti-counterfeit recognition precision is high, but there is a problem of to use special equipment and being not easy universal.As intelligent terminal produces
The rise of product, the intelligent terminals such as smart phone, smartwatch, tablet computer can shoot photo or directly recognition picture to obtain
Bar code in picture (one-dimension code, two dimensional code) information is taken, the equipment with RFID radio-frequency enabled can also obtain anti-fake by RFID
The corresponding information of labeling is used for anti-counterfeit recognition.On the whole, anti-fake label information is distinguished by intelligent terminal and carries out anti-counterfeit recognition,
Not only it can guarantee accuracy of identification but also can be widely popularized.
On the other hand, in order to which product is beautiful and distinguishes different products, it will usually be different product design different patterns
Labeling, the consistency of product external packaging design style can be destroyed to a certain extent according to the anti-fake label of quick response code form.
Summary of the invention
Aiming at the problems and shortcomings existing in the prior art, the purpose of the present invention is to provide a kind of knowledges of gravure anti-fake label
By anti-counterfeiting identification code and product appearance is presented using the gravure anti-fake label with gravure pattern as anti-fake label in other method
The gravure pattern of layout combines together, not only will not influence the presentation effect of pattern, but also plays anti-fake effect.
The present invention is achieved through the following technical solutions: a kind of gravure anti-fake label recognition methods, be arranged on anti-fake label to
Few one is combined the gravure pattern constituted by the dotted line that point and/or line form, and different dotted lines combines to form different pattern effects
Fruit, user carry out anti-counterfeit recognition, institute by the gravure pattern being equipped on the intelligent terminal scanning anti-fake label of image recognition APP
It states all or part of point and/or line in gravure pattern and forms preset anti-counterfeiting identification code, and the letter of preset anti-counterfeiting identification code
Breath has been pre-stored in the background data base of image recognition APP, i.e. mode not noticeable with human eye in gravure pattern
It conceals to be distinguished by image recognition APP and compare to carry out the anti-counterfeiting identification code of fake certification.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes reflection anti-counterfeiting identification code
The arrangement mode of relative positional relationship between internal multiple points and/or line；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding arrangement of anti-counterfeiting identification code to be verified
The acquired value of mode, then the standard value of arrangement mode corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes color range；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding color range of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of color range corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes form and aspect；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding form and aspect of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of form and aspect corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes saturation degree；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding saturation of anti-counterfeiting identification code to be verified
The acquired value of degree, then the standard value of saturation degree corresponding with preset anti-counterfeiting identification code are compared: if difference is being held after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in poor range；Difference judges that this is recessed if exceeding range of tolerable variance after comparing
It is false for being patterned corresponding anti-fake label.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes reflection anti-counterfeiting identification code
The relative position of relative positional relationship in entire gravure pattern；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of position, then the standard value of relative position corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
In order to preferably realize the present invention, further, the information of the anti-counterfeiting identification code includes reflection anti-counterfeiting identification code
The relative size of relative positional relationship in entire gravure pattern；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of size, then the standard value of relative size corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
In order to preferably realize the present invention, further, described image identifies that APP is formed by scanning gravure pattern and obtains
Image, then the information of anti-counterfeiting identification code to be verified is obtained by acquisition image analysis.
In order to preferably realize the present invention, further, described image identification APP is in the case where accessing network and from the background
Database connection is with the online information for obtaining the preset anti-counterfeiting identification code being stored in advance in background data base；Alternatively, described
Image recognition APP first downloads the information of preset anti-counterfeiting identification code in the case where accessing network to offline from background data base
Data packet, can be in the case where accessing network from background data base when needing to call the information of preset anti-counterfeiting identification code later
Middle calling can also be called from off-line data packet in the case where no network.
In order to preferably realize the present invention, further, the intelligent terminal is the intelligent hand with image collecting function
Machine or tablet computer or smartwatch.
Compared with prior art, the present invention have the following advantages that and the utility model has the advantages that
(1) present invention by with camera and install image recognition APP intelligent terminal scan gravure pattern, by image recognition
APP extracts the anti-counterfeiting identification code that is hidden in gravure pattern, and analyzes the corresponding acquired value of anti-counterfeiting identification code, then will acquire value and
The standard value of reserved certified products anti-counterfeiting identification code compares, to judge the true and false；Anti-counterfeit recognition, precision are carried out using intelligent terminal
It is high, easy to use.
(2) anti-counterfeiting identification code is hidden in gravure pattern by the present invention, neither destroys the consistency of product design, again
The purpose of hiding anti-counterfeiting information can be played.
(3) anti-counterfeiting identification code is hidden in gravure pattern by the present invention, and the anti-counterfeiting characteristic information of anti-counterfeiting identification code all stores
In background data base, encryption handling is unified by manufacturer or operator, is not easy to be known by ordinary consumer, thus is improved anti-
The difficulty that puppet is decoded.
Detailed description of the invention
Fig. 1 is the standard drawing of gravure pattern.
Fig. 2 is the effect picture that gravure pattern only retains wherein coding layer and auxiliary line layer.
Fig. 3 is the partial enlarged view of Fig. 2.
Fig. 4 is the effect picture that gravure pattern only retains wherein coding layer.
Fig. 5 is the partial enlarged view of Fig. 4.
Fig. 6 is the histogram that image recognition APP identifies that the standard anti-counterfeiting identification code of monochromatic gravure group flower plus offset printing shading obtains
Figure.
Fig. 7 is that image recognition APP identifies the gravure figure for relative to standard anti-counterfeiting identification code overstriking lines, changing line color
The histogram that case obtains.
Fig. 8 is that image recognition APP is identified relative to standard anti-counterfeiting identification code addition other biggish colors of form and aspect difference
The histogram that the gravure pattern of lines obtains.
Fig. 9 is that image recognition APP is identified relative to standard anti-counterfeiting identification code addition other lesser colors of form and aspect difference
The histogram that the gravure pattern of lines obtains.
Figure 10 is that image recognition APP is identified relative to standard anti-counterfeiting identification code addition other biggish colors of form and aspect difference
The histogram that the gravure pattern that lines and lines attenuate obtains.
Figure 11 is a kind of double-colored wiring gravure pattern of anti-fake label, is a kind of coding mode in box.
Specific embodiment
Anti-fake label is a kind of printed matter of gravure in the present invention.
Embodiment 1:
At least one is arranged on anti-fake label and is combined by the dotted line that point and/or line form for a kind of gravure anti-fake label recognition methods
The gravure pattern of composition, different dotted lines combine to form different pattern effects, and user is by being equipped with the intelligence of image recognition APP
Can the gravure pattern on terminal scanning anti-fake label carry out anti-counterfeit recognition, in the gravure pattern all or part of point and/or
Line forms preset anti-counterfeiting identification code, and the information of preset anti-counterfeiting identification code has been pre-stored in image recognition APP's
In background data base, i.e., in gravure pattern with the not noticeable mode of human eye conceal by image recognition APP distinguish compare with into
The anti-counterfeiting identification code of row fake certification.
The anti-fake label is directly or indirectly bound with product, such as: the labelings such as wine mark, tickets sample or product certification card
Book.
The intelligent terminal is the smart phone or tablet computer or smartwatch with image collecting function.
Concave of the present invention is patterned in conjunction with carved gravure feature, to the point in gravure dotted line version line, the density between line, width
The relationships such as narrow, length are pre-designed, and realize a kind of encoding relation.It can be designed in the anti-fake label whole region
Gravure pattern, and whole gravure patterns can be covered by the anti-counterfeiting identification code that image recognition APP is extracted, it may also be only part
Gravure pattern.
In the present invention, the main scape of gravure is designed using engraving dotted line mode in anti-fake label, and dotted line combination has arrangement, dredges
The structural elements such as close, position, it may have the color essentials such as color range, form and aspect, saturation degree.
The present invention be the pattern integrally presented based on existing gravure pattern, concave-convex effect and carry out the technology of anti-counterfeit recognition,
The dotted line combination for further choosing dotted line combination or whole local in gravure pattern is used as anti-counterfeiting identification code, and passes through image
The structural element of the dotted line of APP precise acquisition anti-counterfeiting identification code region or the anti-fake parameter of color essential are identified, for preventing
Puppet identification.
The first situation: anti-counterfeiting identification code is only the part of gravure pattern and non-integral, the area of usual anti-counterfeiting identification code
Very little；
Second situation: anti-counterfeiting identification code is all whole of gravure pattern.
Above-mentioned two situations all exist: the corresponding spread parameter of anti-counterfeiting identification code or dotted line density parameter or dotted line gray scale ginseng
When number is more approximate, it is difficult the case where naked view of direct human eye distinguishes, the smart phone progress for needing to be coupled corresponding A PP is anti-fake
Identification.
Image recognition APP is installed in the intelligent terminal with camera, is scanned by intelligent terminal and uses anti-fake gravure
The anti-fake label of patterning technique production, captures the anti-counterfeiting identification code being hidden in gravure pattern, and obtain anti-counterfeit recognition in label
The anti-counterfeiting characteristic parameter of code pattern calculates the difference of acquired value and standard value and judges the true and false of label.
Present invention has the advantage that
(1) using image histogram as the method for identifying printed matter consistency, graphics shape is succinct, solidification is stablized, and has and knows
Other high reliablity, it is of less demanding to mobile phone hardware such as camera etc., it is easy to realize proprietary APP operation on smart phone.
(2) identification basis is the whole color range attribute of image, identifies the fine lines of gravure, micro text clarity with former
The methods of it is more intuitive, no localization region identifies demand.
(3) image histogram figure identification information editable can be acquired all and also choose passage portion and carry out identification side
Method design, has later period changeability, is easy to method update, is not easy to carry out decompiling.
(4) gravure figure line is designed without particular/special requirement, does not influence existing design, production procedure.
Embodiment 2:
At least one is arranged on anti-fake label and is combined by the dotted line that point and/or line form for a kind of gravure anti-fake label recognition methods
The gravure pattern of composition, different dotted lines combine to form different pattern effects, and user is by being equipped with the intelligence of image recognition APP
Can the gravure pattern on terminal scanning anti-fake label carry out anti-counterfeit recognition, in the gravure pattern all or part of point and/or
Line forms preset anti-counterfeiting identification code, and the information of preset anti-counterfeiting identification code has been pre-stored in image recognition APP's
In background data base, i.e., in gravure pattern with the not noticeable mode of human eye conceal by image recognition APP distinguish compare with into
The anti-counterfeiting identification code of row fake certification.
Described image identifies that APP is formed by scanning gravure pattern and obtains image, then is obtained by acquisition image analysis to be tested
The information of the anti-counterfeiting identification code of card.Image is formed by camera scan pattern, then extracts the information of image and belongs to the prior art,
So it will not be repeated: relevant technical literature such as: Chinese publication number: CN106022797A smart machine APP image-recognizing method/at
Dou Mo cloud Science and Technology Ltd.；" computer engineering is with the 2399-2404 pages of science 2015.37(12) " based on iPhone mobile phone
Digital code identifies and application in real time "/Cheng Yigong.
Further, described image identification APP is connect in the case where accessing network with background data base pre- to obtain online
It is first stored in the information of the preset anti-counterfeiting identification code in background data base；Alternatively, described image identifies APP in access network
In the case of preset anti-counterfeiting identification code is first downloaded from background data base information to off-line data packet, need to call later default
Anti-counterfeiting identification code information when can be called from background data base in the case where accessing network or in no network
In the case of called from off-line data packet.
Using above-mentioned gravure dotted line version line encoded information method make antifalsification label (wine mark, tickets sample), by APP this
After the scanning of class decoding tool, form element, the reality of color essential of available anti-counterfeiting identification code position corresponding pattern
The result of parameter value, actual parameter value and standard value comparison is used to judge the true and false of label: the result of comparison is in range of tolerable variance
Then label is judged as "true"；Beyond range of tolerable variance, then label is judged as "false" to the result of comparison.Above-mentioned gravure electric wire version line
Anti-counterfeiting identification code and the gravure pattern that pattern is presented are combined together, both will not influence the presentation of pattern by the method for encoded information
Effect, and play anti-fake effect.
Embodiment 3:
The present embodiment is illustrated on the basis of embodiment 1 or 2, and the composition of the anti-counterfeiting identification code is following three kinds of composition sides
Any one in formula:
A, by " point ", this single-element forms anti-counterfeiting identification code；
B, by " line ", this single-element forms anti-counterfeiting identification code；
C, anti-counterfeiting identification code is collectively constituted by " point " and " line " two elements.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
Embodiment 4:
The present embodiment is illustrated on the basis of embodiment 1-3 any one, and the anti-counterfeiting identification code has specific anti-fake
Feature, anti-counterfeiting characteristic parameter can be structural parameters, can make color parameter, be also possible to the knot of structural parameters and color parameter
It closes.
One, structural parameters include arrangement mode parameter, relative position parameter, form parameter, any one in dimensional parameters
Or it is multiple.It, can be to " arrangement mode parameter, relative position parameter, form parameter, ruler in the anti-fake comparison of progress structural parameters
Any one or more parameters carry out anti-fake comparison analysis in very little parameter ".
The arrangement mode parameter reflects the arrangement side of relative positional relationship between multiple points and/or line inside anti-counterfeiting identification code
Formula.
The relative position of relative position parameter reflection anti-counterfeiting identification code relative positional relationship in entire gravure pattern.
The shape of the form parameter reflection anti-counterfeiting identification code.
Relative size of the dimensional parameters reflection anti-counterfeiting identification code relative to entire gravure pattern.
Two, color parameter include color range parameter, form and aspect parameter, it is any one or more in saturation parameters.It is being tied
When the anti-fake comparison of structure parameter, parameters any one or more in " color range parameter, form and aspect parameter, saturation parameters " can be carried out
Anti-fake comparison analysis.
The opposite bright-dark degree of the color range parameter reflection anti-counterfeiting identification code, i.e. brightness.Usually using from 0%(black) extremely
100%(white) percentage measure, the color range histogram of a picture is demonstrated by the relationship between light and dark of a secondary figure.
The color difference of the form and aspect parameter reflection anti-counterfeiting identification code, red, yellow, and green is basic colors.
The lively degree of the saturation parameters reflection anti-counterfeiting identification code color, the i.e. intensity and purity of color.Saturation degree
Indicate ratio shared by gray component in form and aspect, it is using from 0%(grey) it is fully saturated to 100%() percentage measure.
Saturation degree is bigger, and gray scale is smaller, and color is more bright-coloured；Conversely, being exactly grey when saturation degree is 0.
A kind of side that gravure anti-fake label anti-counterfeit recognition is carried out with cell phone application of anti-counterfeit recognition is carried out based on color essential
Method installs image recognition APP in the intelligent terminal of included camera, is hidden in using camera scanning anti-in gravure line
Pseudo- identification code, extract anti-counterfeiting identification code color range and/or form and aspect and/or saturation degree and form the histogram of comparison, then with just
The corresponding standard histogram of product compares, and judges the true and false of anti-fake label.
Further, anti-counterfeiting characteristic parameter can also be gravure line depth.
Three, gravure printing line depth, i.e. ink layer thickness, 0.01 millimeter ~ 0.2 millimeter, the difference of ink layer thickness when passing through gravure
Different coding rules is set, can also realize that polychrome multi-angle splices line.Known by the image recognition APP installed on mobile phone
Gravure printing line depth that Chu be not different, then carry out standard value and compare to carry out truth identification.
As Figure 1-Figure 5, the mode for carrying out true and false judgement by arrangement mode parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding arrangement of anti-counterfeiting identification code to be verified
The acquired value of mode, then the standard value of arrangement mode corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
As Figure 1-Figure 5, the mode for carrying out true and false judgement by relative position parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of position, then the standard value of relative position corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
The mode for carrying out true and false judgement by relative size parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of size, then the standard value of relative size corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
As shown in Fig. 6-Figure 10, the mode for carrying out true and false judgement by color range parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding color range of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of color range corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
As shown in Fig. 6-Figure 11, the mode for carrying out true and false judgement by form and aspect parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding form and aspect of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of form and aspect corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
As shown in Fig. 6-Figure 11, the mode for carrying out true and false judgement by saturation parameters is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding saturation of anti-counterfeiting identification code to be verified
The acquired value of degree, then the standard value of saturation degree corresponding with preset anti-counterfeiting identification code are compared: if difference is being held after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in poor range；Difference judges that this is recessed if exceeding range of tolerable variance after comparing
It is false for being patterned corresponding anti-fake label.
The mode for carrying out true and false judgement by gravure printing line depth parameter is as follows:
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding intaglio plate of anti-counterfeiting identification code to be verified
The acquired value of version line depth, then the standard value of gravure printing line depth corresponding with preset anti-counterfeiting identification code are compared: if than
Then judge that rear difference, this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；If difference exceeds tolerance model after comparing
It encloses, judges that this corresponding anti-fake label of gravure pattern is false.
The other parts of the present embodiment are same as the previously described embodiments, and so it will not be repeated.
The above is only presently preferred embodiments of the present invention, not does limitation in any form to the present invention, it is all according to
According to technical spirit any simple modification to the above embodiments of the invention, equivalent variations, protection of the invention is each fallen within
Within the scope of.
Claims (10)
1. a kind of gravure anti-fake label recognition methods, at least one dotted line group being made of point and/or line is set on anti-fake label
The gravure pattern constituted is closed, different dotted lines combines to form different pattern effects, and user is by being equipped with image recognition APP's
Intelligent terminal scan anti-fake label on gravure pattern carry out anti-counterfeit recognition, it is characterised in that: in the gravure pattern part or
Whole points and/or line form preset anti-counterfeiting identification code, and the information of preset anti-counterfeiting identification code has been pre-stored in
In the background data base of image recognition APP, i.e., concealed in the not noticeable mode of human eye by image recognition APP in gravure pattern
Recognition is compared to carry out the anti-counterfeiting identification code of fake certification.
2. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes the arrangement mode for reflecting relative positional relationship between multiple points and/or line inside anti-counterfeiting identification code；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding arrangement of anti-counterfeiting identification code to be verified
The acquired value of mode, then the standard value of arrangement mode corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
3. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes color range；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding color range of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of color range corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
4. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes form and aspect；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding form and aspect of anti-counterfeiting identification code to be verified
Acquired value, then the standard value of form and aspect corresponding with preset anti-counterfeiting identification code is compared: if difference is in tolerance model after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in enclosing；Difference judges this gravure figure if exceeding range of tolerable variance after comparing
The corresponding anti-fake label of case is false.
5. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes saturation degree；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, first obtains the corresponding saturation of anti-counterfeiting identification code to be verified
The acquired value of degree, then the standard value of saturation degree corresponding with preset anti-counterfeiting identification code are compared: if difference is being held after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in poor range；Difference judges that this is recessed if exceeding range of tolerable variance after comparing
It is false for being patterned corresponding anti-fake label.
6. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes reflecting the relative position of anti-counterfeiting identification code relative positional relationship in entire gravure pattern；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of position, then the standard value of relative position corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
7. a kind of gravure anti-fake label recognition methods according to claim 1, it is characterised in that: the anti-counterfeiting identification code
Information includes reflecting the relative size of anti-counterfeiting identification code relative positional relationship in entire gravure pattern；
During anti-counterfeit recognition, image recognition APP scans gravure pattern, and it is corresponding opposite first to obtain anti-counterfeiting identification code to be verified
The acquired value of size, then the standard value of relative size corresponding with preset anti-counterfeiting identification code are compared: if difference after comparing
Then judge that this corresponding anti-fake label of gravure pattern is true in range of tolerable variance；Difference judges if exceeding range of tolerable variance after comparing
This corresponding anti-fake label of gravure pattern is false.
8. a kind of gravure anti-fake label recognition methods described in -7 any one according to claim 1, it is characterised in that: the figure
Image is obtained as identification APP is formed by scanning gravure pattern, then anti-counterfeiting identification code to be verified is obtained by acquisition image analysis
Information.
9. a kind of gravure anti-fake label recognition methods described in -7 any one according to claim 1, it is characterised in that: the figure
It is stored in advance in background data base as identification APP is connect in the case where accessing network with background data base with online acquisition
The information of preset anti-counterfeiting identification code；Alternatively, described image identifies APP in the case where accessing network first from background data base
The information of preset anti-counterfeiting identification code is downloaded to off-line data packet, it can when needing to call the information of preset anti-counterfeiting identification code later
With in the case where accessing network from calling and can also be adjusted from off-line data packet in the case where no network in background data base
With.
10. a kind of gravure anti-fake label recognition methods described in -7 any one according to claim 1, it is characterised in that: described
Intelligent terminal is the smart phone or tablet computer or smartwatch with image collecting function.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111739407A (en) * | 2020-06-12 | 2020-10-02 | 珠海市蓝海防伪包装科技有限公司 | Novel anti-fake medicine packing carton of data ization printing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904951A (en) * | 2006-08-03 | 2007-01-31 | 中国印钞造币总公司 | Anti-fake element containing carved gravure anti-fake machine reading pattern |
| CN104497714A (en) * | 2014-12-09 | 2015-04-08 | 上海印钞有限公司 | Carving gravure ink with conductivity and anti-counterfeiting file printed by same |
| CN107437293A (en) * | 2017-07-13 | 2017-12-05 | 广州市银科电子有限公司 | A kind of bill anti-counterfeit discrimination method based on bill global characteristics |
| CN108268889A (en) * | 2017-12-28 | 2018-07-10 | 王道顺 | To carved gravure true-false detection method, detection platform and detecting system |
-
2019
- 2019-04-08 CN CN201910276477.5A patent/CN110008774A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904951A (en) * | 2006-08-03 | 2007-01-31 | 中国印钞造币总公司 | Anti-fake element containing carved gravure anti-fake machine reading pattern |
| CN104497714A (en) * | 2014-12-09 | 2015-04-08 | 上海印钞有限公司 | Carving gravure ink with conductivity and anti-counterfeiting file printed by same |
| CN107437293A (en) * | 2017-07-13 | 2017-12-05 | 广州市银科电子有限公司 | A kind of bill anti-counterfeit discrimination method based on bill global characteristics |
| CN108268889A (en) * | 2017-12-28 | 2018-07-10 | 王道顺 | To carved gravure true-false detection method, detection platform and detecting system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111739407A (en) * | 2020-06-12 | 2020-10-02 | 珠海市蓝海防伪包装科技有限公司 | Novel anti-fake medicine packing carton of data ization printing |
| CN111739407B (en) * | 2020-06-12 | 2022-05-31 | 珠海市蓝海防伪包装科技有限公司 | Anti-fake medicine packing carton of data ization printing |
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